Model Inference Attack

Title	Venue	Year	Link
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity.	NeurIPS	2024	Link
Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees.	NeurIPS	2024	Link
Amortizing intractable inference in diffusion models for vision, language, and control.	NeurIPS	2024	Link
Auditing Privacy Mechanisms via Label Inference Attacks.	NeurIPS	2024	Link
Block Transformer: Global-to-Local Language Modeling for Fast Inference.	NeurIPS	2024	Link
Causal Inference in the Closed-Loop: Marginal Structural Models for Sequential Excursion Effects.	NeurIPS	2024	Link
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference.	NeurIPS	2024	Link
Consistency Models for Scalable and Fast Simulation-Based Inference.	NeurIPS	2024	Link
Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions.	NeurIPS	2024	Link
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution.	NeurIPS	2024	Link
Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference.	NeurIPS	2024	Link
Foundation Inference Models for Markov Jump Processes.	NeurIPS	2024	Link
Gated Inference Network: Inference and Learning State-Space Models.	NeurIPS	2024	Link
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models.	NeurIPS	2024	Link
Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach.	NeurIPS	2024	Link
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models.	NeurIPS	2024	Link
KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization.	NeurIPS	2024	Link
Linear Uncertainty Quantification of Graphical Model Inference.	NeurIPS	2024	Link
Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration.	NeurIPS	2024	Link
Membership Inference Attacks against Large Vision-Language Models.	NeurIPS	2024	Link
Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy.	NeurIPS	2024	Link
Model Based Inference of Synaptic Plasticity Rules.	NeurIPS	2024	Link
OSLO: One-Shot Label-Only Membership Inference Attacks.	NeurIPS	2024	Link
Opponent Modeling based on Subgoal Inference.	NeurIPS	2024	Link
PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation.	NeurIPS	2024	Link
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models.	NeurIPS	2024	Link
Private Attribute Inference from Images with Vision-Language Models.	NeurIPS	2024	Link
Robust group and simultaneous inferences for high-dimensional single index model.	NeurIPS	2024	Link
Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration.	NeurIPS	2024	Link
Stratified Prediction-Powered Inference for Effective Hybrid Evaluation of Language Models.	NeurIPS	2024	Link
Structural Inference of Dynamical Systems with Conjoined State Space Models.	NeurIPS	2024	Link
Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads.	NeurIPS	2024	Link

2023

Title	Venue	Year	Link
ARTree: A Deep Autoregressive Model for Phylogenetic Inference.	NeurIPS	2023	Link
Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models.	NeurIPS	2023	Link
Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing.	NeurIPS	2023	Link
Change point detection and inference in multivariate non-parametric models under mixing conditions.	NeurIPS	2023	Link
Cheaply Estimating Inference Efficiency Metrics for Autoregressive Transformer Models.	NeurIPS	2023	Link
Conditional score-based diffusion models for Bayesian inference in infinite dimensions.	NeurIPS	2023	Link
Distributed Inference and Fine-tuning of Large Language Models Over The Internet.	NeurIPS	2023	Link
Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach.	NeurIPS	2023	Link
GAN You See Me? Enhanced Data Reconstruction Attacks against Split Inference.	NeurIPS	2023	Link
H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.	NeurIPS	2023	Link
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration.	NeurIPS	2023	Link
Inference-Time Intervention: Eliciting Truthful Answers from a Language Model.	NeurIPS	2023	Link
Learning Robust Statistics for Simulation-based Inference under Model Misspecification.	NeurIPS	2023	Link
Scalable Membership Inference Attacks via Quantile Regression.	NeurIPS	2023	Link
Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference.	NeurIPS	2023	Link
Students Parrot Their Teachers: Membership Inference on Model Distillation.	NeurIPS	2023	Link
Towards Optimal Caching and Model Selection for Large Model Inference.	NeurIPS	2023	Link
Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models.	NeurIPS	2023	Link
ZipLM: Inference-Aware Structured Pruning of Language Models.	NeurIPS	2023	Link

2022

Title	Venue	Year	Link
Causal Inference with Non-IID Data using Linear Graphical Models.	NeurIPS	2022	Link
Dataset Inference for Self-Supervised Models.	NeurIPS	2022	Link
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models.	NeurIPS	2022	Link
M$4$I: Multi-modal Models Membership Inference.	NeurIPS	2022	Link
MExMI: Pool-based Active Model Extraction Crossover Membership Inference.	NeurIPS	2022	Link
Training and Inference on Any-Order Autoregressive Models the Right Way.	NeurIPS	2022	Link
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time.	NeurIPS	2022	Link

2021

Title	Venue	Year	Link
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data.	NeurIPS	2021	Link
Amortized Variational Inference for Simple Hierarchical Models.	NeurIPS	2021	Link
Asymptotics of the Bootstrap via Stability with Applications to Inference with Model Selection.	NeurIPS	2021	Link
Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging.	NeurIPS	2021	Link
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models.	NeurIPS	2021	Link
Low-Rank Constraints for Fast Inference in Structured Models.	NeurIPS	2021	Link
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm.	NeurIPS	2021	Link
Optimality of variational inference for stochasticblock model with missing links.	NeurIPS	2021	Link

2020

Title	Venue	Year	Link
A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons.	NeurIPS	2020	Link
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models.	NeurIPS	2020	Link
Deep Structural Causal Models for Tractable Counterfactual Inference.	NeurIPS	2020	Link
Domain Adaptation as a Problem of Inference on Graphical Models.	NeurIPS	2020	Link
Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond.	NeurIPS	2020	Link
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models.	NeurIPS	2020	Link
Matrix Inference and Estimation in Multi-Layer Models.	NeurIPS	2020	Link
Probabilistic Circuits for Variational Inference in Discrete Graphical Models.	NeurIPS	2020	Link

2019

Title	Venue	Year	Link
Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon Synapse.	NeurIPS	2019	Link
Combining Generative and Discriminative Models for Hybrid Inference.	NeurIPS	2019	Link
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model.	NeurIPS	2019	Link
Fisher Efficient Inference of Intractable Models.	NeurIPS	2019	Link
Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems.	NeurIPS	2019	Link
Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models.	NeurIPS	2019	Link
Scalable inference of topic evolution via models for latent geometric structures.	NeurIPS	2019	Link
Structured Variational Inference in Continuous Cox Process Models.	NeurIPS	2019	Link

2018

Title	Venue	Year	Link
Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models.	NeurIPS	2018	Link
Faithful Inversion of Generative Models for Effective Amortized Inference.	NeurIPS	2018	Link
Flexible and accurate inference and learning for deep generative models.	NeurIPS	2018	Link
Graphical model inference: Sequential Monte Carlo meets deterministic approximations.	NeurIPS	2018	Link
Learning and Inference in Hilbert Space with Quantum Graphical Models.	NeurIPS	2018	Link
Provable Variational Inference for Constrained Log-Submodular Models.	NeurIPS	2018	Link

ICML

Expand ICML

2025

Title	Venue	Year	Link
A General Framework for Inference-time Scaling and Steering of Diffusion Models.	ICML	2025	Link
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks.	ICML	2025	Link
A Simple Model of Inference Scaling Laws.	ICML	2025	Link
Adaptive Median Smoothing: Adversarial Defense for Unlearned Text-to-Image Diffusion Models at Inference Time.	ICML	2025	Link
CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models.	ICML	2025	Link
Counterfactual Graphical Models: Constraints and Inference.	ICML	2025	Link
Dataflow-Guided Neuro-Symbolic Language Models for Type Inference.	ICML	2025	Link
Differentially Private Analysis for Binary Response Models: Optimality, Estimation, and Inference.	ICML	2025	Link
EncryptedLLM: Privacy-Preserving Large Language Model Inference via GPU-Accelerated Fully Homomorphic Encryption.	ICML	2025	Link
Generalization Principles for Inference over Text-Attributed Graphs with Large Language Models.	ICML	2025	Link
Hidden No More: Attacking and Defending Private Third-Party LLM Inference.	ICML	2025	Link
InfAlign: Inference-aware language model alignment.	ICML	2025	Link
Inference-Time Alignment of Diffusion Models with Direct Noise Optimization.	ICML	2025	Link
Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models.	ICML	2025	Link
InfoSEM: A Deep Generative Model with Informative Priors for Gene Regulatory Network Inference.	ICML	2025	Link
Ladder-Residual: Parallelism-Aware Architecture for Accelerating Large Model Inference with Communication Overlapping.	ICML	2025	Link
Latent Thought Models with Variational Bayes Inference-Time Computation.	ICML	2025	Link
Optimizing Language Models for Inference Time Objectives using Reinforcement Learning.	ICML	2025	Link
Optimizing Temperature for Language Models with Multi-Sample Inference.	ICML	2025	Link
Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Language Model Inference.	ICML	2025	Link
Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models.	ICML	2025	Link
Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models.	ICML	2025	Link
Position: Probabilistic Modelling is Sufficient for Causal Inference.	ICML	2025	Link
Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization.	ICML	2025	Link
PyTDC: A multimodal machine learning training, evaluation, and inference platform for biomedical foundation models.	ICML	2025	Link
Scaling Inference-Efficient Language Models.	ICML	2025	Link
SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference.	ICML	2025	Link
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference.	ICML	2025	Link
T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling.	ICML	2025	Link
The Hidden Joules: Evaluating the Energy Consumption of Vision Backbones for Progress Towards More Efficient Model Inference.	ICML	2025	Link
Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models.	ICML	2025	Link
Towards Black-Box Membership Inference Attack for Diffusion Models.	ICML	2025	Link

2024

Title	Venue	Year	Link
APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference.	ICML	2024	Link
Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws.	ICML	2024	Link
EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism.	ICML	2024	Link
GroupCover: A Secure, Efficient and Scalable Inference Framework for On-device Model Protection based on TEEs.	ICML	2024	Link
HexGen: Generative Inference of Large Language Model over Heterogeneous Environment.	ICML	2024	Link
InferCept: Efficient Intercept Support for Augmented Large Language Model Inference.	ICML	2024	Link
Low-Cost High-Power Membership Inference Attacks.	ICML	2024	Link
Membership Inference Attacks on Diffusion Models via Quantile Regression.	ICML	2024	Link
Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference.	ICML	2024	Link
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo.	ICML	2024	Link
Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions.	ICML	2024	Link
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models.	ICML	2024	Link
Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference.	ICML	2024	Link
Split-and-Denoise: Protect large language model inference with local differential privacy.	ICML	2024	Link
State-Free Inference of State-Space Models: The Transfer Function Approach.	ICML	2024	Link
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks.	ICML	2024	Link
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model.	ICML	2024	Link

2023

Title	Venue	Year	Link
Are Diffusion Models Vulnerable to Membership Inference Attacks?	ICML	2023	Link
Compositional Score Modeling for Simulation-Based Inference.	ICML	2023	Link
Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models.	ICML	2023	Link
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU.	ICML	2023	Link
Free-Form Variational Inference for Gaussian Process State-Space Models.	ICML	2023	Link
Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models.	ICML	2023	Link

2022

Title	Venue	Year	Link
Easy Variational Inference for Categorical Models via an Independent Binary Approximation.	ICML	2022	Link
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.	ICML	2022	Link
Streaming Inference for Infinite Feature Models.	ICML	2022	Link
Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm.	ICML	2022	Link
Variational Inference with Locally Enhanced Bounds for Hierarchical Models.	ICML	2022	Link

2021

Title	Venue	Year	Link
Context-Aware Online Collective Inference for Templated Graphical Models.	ICML	2021	Link
Differentially Private Bayesian Inference for Generalized Linear Models.	ICML	2021	Link
Inference for Network Regression Models with Community Structure.	ICML	2021	Link
Label Inference Attacks from Log-loss Scores.	ICML	2021	Link
Label-Only Membership Inference Attacks.	ICML	2021	Link
On Variational Inference in Biclustering Models.	ICML	2021	Link
Robust Inference for High-Dimensional Linear Models via Residual Randomization.	ICML	2021	Link
When Does Data Augmentation Help With Membership Inference Attacks?	ICML	2021	Link

2020

Title	Venue	Year	Link
Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models.	ICML	2020	Link
From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models.	ICML	2020	Link
Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers.	ICML	2020	Link

2019

Title	Venue	Year	Link
An Instability in Variational Inference for Topic Models.	ICML	2019	Link
Graphical-model based estimation and inference for differential privacy.	ICML	2019	Link
Inference and Sampling of $K_33$-free Ising Models.	ICML	2019	Link
Locally Private Bayesian Inference for Count Models.	ICML	2019	Link
Scalable Training of Inference Networks for Gaussian-Process Models.	ICML	2019	Link
Validating Causal Inference Models via Influence Functions.	ICML	2019	Link

2018

Title	Venue	Year	Link
Accurate Inference for Adaptive Linear Models.	ICML	2018	Link
Variational Inference and Model Selection with Generalized Evidence Bounds.	ICML	2018	Link

2017

Title	Venue	Year	Link
Exact Inference for Integer Latent-Variable Models.	ICML	2017	Link
Selective Inference for Sparse High-Order Interaction Models.	ICML	2017	Link
Variational Inference for Sparse and Undirected Models.	ICML	2017	Link

2016

Title	Venue	Year	Link
A Distributed Variational Inference Framework for Unifying Parallel Sparse Gaussian Process Regression Models.	ICML	2016	Link
Inference Networks for Sequential Monte Carlo in Graphical Models.	ICML	2016	Link
Provable Algorithms for Inference in Topic Models.	ICML	2016	Link

2015

Title	Venue	Year	Link
A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data.	ICML	2015	Link
Celeste: Variational inference for a generative model of astronomical images.	ICML	2015	Link
Distributed Inference for Dirichlet Process Mixture Models.	ICML	2015	Link
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades.	ICML	2015	Link
Inference in a Partially Observed Queuing Model with Applications in Ecology.	ICML	2015	Link
Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models.	ICML	2015	Link
Scalable Variational Inference in Log-supermodular Models.	ICML	2015	Link
Sparse Variational Inference for Generalized GP Models.	ICML	2015	Link

2014

Title	Venue	Year	Link
Consistency of Causal Inference under the Additive Noise Model.	ICML	2014	Link
Stochastic Backpropagation and Approximate Inference in Deep Generative Models.	ICML	2014	Link
Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices.	ICML	2014	Link
Stochastic Variational Inference for Bayesian Time Series Models.	ICML	2014	Link

2013

Title	Venue	Year	Link
Approximate Inference in Collective Graphical Models.	ICML	2013	Link
Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models.	ICML	2013	Link

2012

Title	Venue	Year	Link
A Generalized Loop Correction Method for Approximate Inference in Graphical Models.	ICML	2012	Link
Large Scale Variational Bayesian Inference for Structured Scale Mixture Models.	ICML	2012	Link
State-Space Inference for Non-Linear Latent Force Models with Application to Satellite Orbit Prediction.	ICML	2012	Link
Variational Inference in Non-negative Factorial Hidden Markov Models for Efficient Audio Source Separation.	ICML	2012	Link

2011

Title	Venue	Year	Link
On the Use of Variational Inference for Learning Discrete Graphical Model.	ICML	2011	Link

2009

Title	Venue	Year	Link
Bayesian inference for Plackett-Luce ranking models.	ICML	2009	Link
Convex variational Bayesian inference for large scale generalized linear models.	ICML	2009	Link
Regression by dependence minimization and its application to causal inference in additive noise models.	ICML	2009	Link

2008

Title	Venue	Year	Link
Memory bounded inference in topic models.	ICML	2008	Link
mStruct: a new admixture model for inference of population structure in light of both genetic admixing and allele mutations.	ICML	2008	Link

2006

Title	Venue	Year	Link
Efficient inference on sequence segmentation models.	ICML	2006	Link

2004

Title	Venue	Year	Link
Generative modeling for continuous non-linearly embedded visual inference.	ICML	2004	Link

ICLR

Expand ICLR

2025

Title	Venue	Year	Link
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models.	ICLR	2025	Link
Counterfactual Generative Modeling with Variational Causal Inference.	ICLR	2025	Link
D2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models.	ICLR	2025	Link
DS-LLM: Leveraging Dynamical Systems to Enhance Both Training and Inference of Large Language Models.	ICLR	2025	Link
Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images.	ICLR	2025	Link
Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference.	ICLR	2025	Link
Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark.	ICLR	2025	Link
DocMIA: Document-Level Membership Inference Attacks against DocVQA Models.	ICLR	2025	Link
ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time.	ICLR	2025	Link
Efficient Inference for Large Language Model-based Generative Recommendation.	ICLR	2025	Link
Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling.	ICLR	2025	Link
Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models.	ICLR	2025	Link
Flash Inference: Near Linear Time Inference for Long Convolution Sequence Models and Beyond.	ICLR	2025	Link
Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models.	ICLR	2025	Link
Natural Language Inference Improves Compositionality in Vision-Language Models.	ICLR	2025	Link
Optimized Multi-Token Joint Decoding With Auxiliary Model for LLM Inference.	ICLR	2025	Link
Revisiting In-context Learning Inference Circuit in Large Language Models.	ICLR	2025	Link
VL-Cache: Sparsity and Modality-Aware KV Cache Compression for Vision-Language Model Inference Acceleration.	ICLR	2025	Link
Zero-shot Imputation with Foundation Inference Models for Dynamical Systems.	ICLR	2025	Link

2024

Title	Venue	Year	Link
Amortizing intractable inference in large language models.	ICLR	2024	Link
An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization.	ICLR	2024	Link
BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction.	ICLR	2024	Link
Beyond Memorization: Violating Privacy via Inference with Large Language Models.	ICLR	2024	Link
Delta-AI: Local objectives for amortized inference in sparse graphical models.	ICLR	2024	Link
LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models.	ICLR	2024	Link
Modeling Boundedly Rational Agents with Latent Inference Budgets.	ICLR	2024	Link
Understanding Catastrophic Forgetting in Language Models via Implicit Inference.	ICLR	2024	Link
You Only Query Once: An Efficient Label-Only Membership Inference Attack.	ICLR	2024	Link

2023

Title	Venue	Year	Link
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning.	ICLR	2023	Link
Effective passive membership inference attacks in federated learning against overparameterized models.	ICLR	2023	Link
On the Sensitivity of Reward Inference to Misspecified Human Models.	ICLR	2023	Link
Sampling-based inference for large linear models, with application to linearised Laplace.	ICLR	2023	Link
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning.	ICLR	2023	Link

2022

Title	Venue	Year	Link
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models.	ICLR	2022	Link
GradSign: Model Performance Inference with Theoretical Insights.	ICLR	2022	Link
On the Importance of Difficulty Calibration in Membership Inference Attacks.	ICLR	2022	Link
RelaxLoss: Defending Membership Inference Attacks without Losing Utility.	ICLR	2022	Link
Self-Supervised Inference in State-Space Models.	ICLR	2022	Link
Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion.	ICLR	2022	Link

2021

Title	Venue	Year	Link
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference.	ICLR	2021	Link
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models.	ICLR	2021	Link

2020

Title	Venue	Year	Link
Deep Imitative Models for Flexible Inference, Planning, and Control.	ICLR	2020	Link
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks.	ICLR	2020	Link

2018

Title	Venue	Year	Link
Inference in probabilistic graphical models by Graph Neural Networks.	ICLR	2018	Link
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling.	ICLR	2018	Link

2017

Title	Venue	Year	Link
Autoencoding Variational Inference For Topic Models.	ICLR	2017	Link

2013

Title	Venue	Year	Link
Complexity of Representation and Inference in Compositional Models with Part Sharing	ICLR	2013	Link

NDSS

Expand NDSS

2025

Title	Venue	Year	Link
A Method to Facilitate Membership Inference Attacks in Deep Learning Models.	NDSS	2025	Link
Black-box Membership Inference Attacks against Fine-tuned Diffusion Models.	NDSS	2025	Link
Defending Against Membership Inference Attacks on Iteratively Pruned Deep Neural Networks.	NDSS	2025	Link
Passive Inference Attacks on Split Learning via Adversarial Regularization.	NDSS	2025	Link

2024

Title	Venue	Year	Link
Eavesdropping on Controller Acoustic Emanation for Keystroke Inference Attack in Virtual Reality.	NDSS	2024	Link
Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction.	NDSS	2024	Link
SLMIA-SR: Speaker-Level Membership Inference Attacks against Speaker Recognition Systems.	NDSS	2024	Link

2022

Title	Venue	Year	Link
Property Inference Attacks Against GANs.	NDSS	2022	Link

2021

Title	Venue	Year	Link
Practical Blind Membership Inference Attack via Differential Comparisons.	NDSS	2021	Link
Preventing and Detecting State Inference Attacks on Android.	NDSS	2021	Link
Zoom on the Keystrokes: Exploiting Video Calls for Keystroke Inference Attacks.	NDSS	2021	Link

2020

Title	Venue	Year	Link
Cross-Origin State Inference (COSI) Attacks: Leaking Web Site States through XS-Leaks.	NDSS	2020	Link
Genotype Extraction and False Relative Attacks: Security Risks to Third-Party Genetic Genealogy Services Beyond Identity Inference.	NDSS	2020	Link

2019

Title	Venue	Year	Link
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models.	NDSS	2019	Link

2018

Title	Venue	Year	Link
MCI : Modeling-based Causality Inference in Audit Logging for Attack Investigation.	NDSS	2018	Link

CVPR

Expand CVPR

2025

Title	Venue	Year	Link
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning.	CVPR	2025	Link
Scaling Inference Time Compute for Diffusion Models.	CVPR	2025	Link
TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models.	CVPR	2025	Link
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems.	CVPR	2025	Link
TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model.	CVPR	2025	Link
Variance-Based Membership Inference Attacks Against Large-Scale Image Captioning Models.	CVPR	2025	Link

2024

Title	Venue	Year	Link
Deep-TROJ: An Inference Stage Trojan Insertion Algorithm Through Efficient Weight Replacement Attack.	CVPR	2024	Link
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models.	CVPR	2024	Link

2023

Title	Venue	Year	Link
Dynamic Inference with Grounding Based Vision and Language Models.	CVPR	2023	Link

2022

Title	Venue	Year	Link
Gaussian Process Modeling of Approximate Inference Errors for Variational Autoencoders.	CVPR	2022	Link
Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view Stereo.	CVPR	2022	Link

2021

Title	Venue	Year	Link
Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction.	CVPR	2021	Link
On the Difficulty of Membership Inference Attacks.	CVPR	2021	Link

2020

Title	Venue	Year	Link
Can We Learn Heuristics for Graphical Model Inference Using Reinforcement Learning?	CVPR	2020	Link

2017

Title	Venue	Year	Link
Bidirectional Beam Search: Forward-Backward Inference in Neural Sequence Models for Fill-in-the-Blank Image Captioning.	CVPR	2017	Link

2015

Title	Venue	Year	Link
Maximum persistency via iterative relaxed inference with graphical models.	CVPR	2015	Link
Statistical inference models for image datasets with systematic variations.	CVPR	2015	Link

2014

Title	Venue	Year	Link
Partial Optimality by Pruning for MAP-Inference with General Graphical Models.	CVPR	2014	Link

2013

Title	Venue	Year	Link
Continuous Inference in Graphical Models with Polynomial Energies.	CVPR	2013	Link

2010

Title	Venue	Year	Link
Diffusion filtering without parameter tuning: Models and inference tools.	CVPR	2010	Link
Ray Markov Random Fields for image-based 3D modeling: Model and efficient inference.	CVPR	2010	Link

2003

Title	Venue	Year	Link
Bayesian Tangent Shape Model: Estimating Shape and Pose Parameters via Bayesian Inference.	CVPR	2003	Link

ICCV

Expand ICCV

2023

Title	Venue	Year	Link
Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study.	ICCV	2023	Link
RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning.	ICCV	2023	Link

2021

Title	Venue	Year	Link
Holistic Pose Graph: Modeling Geometric Structure among Objects in a Scene using Graph Inference for 3D Object Prediction.	ICCV	2021	Link
Membership Inference Attacks are Easier on Difficult Problems.	ICCV	2021	Link
PixelPyramids: Exact Inference Models from Lossless Image Pyramids.	ICCV	2021	Link
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming.	ICCV	2021	Link

2019

Title	Venue	Year	Link
Adaptative Inference Cost With Convolutional Neural Mixture Models.	ICCV	2019	Link
Online Model Distillation for Efficient Video Inference.	ICCV	2019	Link

2015

Title	Venue	Year	Link
A Gaussian Process Latent Variable Model for BRDF Inference.	ICCV	2015	Link
Higher-Order Inference for Multi-class Log-Supermodular Models.	ICCV	2015	Link

2011

Title	Venue	Year	Link
Viewpoint invariant 3D landmark model inference from monocular 2D images using higher-order priors.	ICCV	2011	Link

2007

Title	Venue	Year	Link
Spectral Latent Variable Models for Perceptual Inference.	ICCV	2007	Link

2005

Title	Venue	Year	Link
Good Continuation of General 2D Visual Features: Dual Harmonic Models and Computational Inference.	ICCV	2005	Link

ECCV

Expand ECCV

2024

Title	Venue	Year	Link
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models.	ECCV	2024	Link
CipherDM: Secure Three-Party Inference for Diffusion Model Sampling.	ECCV	2024	Link
Efficient Inference of Vision Instruction-Following Models with Elastic Cache.	ECCV	2024	Link
SIMBA: Split Inference - Mechanisms, Benchmarks and Attacks.	ECCV	2024	Link

2022

Title	Venue	Year	Link
Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning.	ECCV	2022	Link

2020

Title	Venue	Year	Link
Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference.	ECCV	2020	Link
S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search.	ECCV	2020	Link
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation.	ECCV	2020	Link

2014

Title	Venue	Year	Link
Active Deformable Part Models Inference.	ECCV	2014	Link

2010

Title	Venue	Year	Link
Monocular 3D Scene Modeling and Inference: Understanding Multi-Object Traffic Scenes.	ECCV	2010	Link

COLT

Expand COLT

2019

Title	Venue	Year	Link
Theoretical guarantees for sampling and inference in generative models with latent diffusions.	COLT	2019	Link

2014

Title	Venue	Year	Link
Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results.	COLT	2014	Link

1999

Title	Venue	Year	Link
Additive Models, Boosting, and Inference for Generalized Divergences.	COLT	1999	Link

UAI

Expand UAI

2025

Title	Venue	Year	Link
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs.	UAI	2025	Link
Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference.	UAI	2025	Link

2024

Title	Venue	Year	Link
Center-Based Relaxed Learning Against Membership Inference Attacks.	UAI	2024	Link
Optimizing Language Models for Human Preferences is a Causal Inference Problem.	UAI	2024	Link

2023

Title	Venue	Year	Link
Implicit Training of Inference Network Models for Structured Prediction.	UAI	2023	Link
Inference of a rumor's source in the independent cascade model.	UAI	2023	Link
Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference.	UAI	2023	Link

2022

Title	Venue	Year	Link
Efficient inference for dynamic topic modeling with large vocabularies.	UAI	2022	Link
Robust identifiability in linear structural equation models of causal inference.	UAI	2022	Link

2021

Title	Venue	Year	Link
Diagnostics for conditional density models and Bayesian inference algorithms.	UAI	2021	Link
Efficient online inference for nonparametric mixture models.	UAI	2021	Link
The neural moving average model for scalable variational inference of state space models.	UAI	2021	Link

2020

Title	Venue	Year	Link
Stochastic Variational Inference for Dynamic Correlated Topic Models.	UAI	2020	Link

2019

Title	Venue	Year	Link
Stability of Linear Structural Equation Models of Causal Inference.	UAI	2019	Link

2018

Title	Venue	Year	Link
Efficient Bayesian Inference for a Gaussian Process Density Model.	UAI	2018	Link
Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks.	UAI	2018	Link
Variational Inference for Gaussian Process Models for Survival Analysis.	UAI	2018	Link

2017

Title	Venue	Year	Link
Differentially Private Variational Inference for Non-conjugate Models.	UAI	2017	Link
Exact Inference for Relational Graphical Models with Interpreted Functions: Lifted Probabilistic Inference Modulo Theories.	UAI	2017	Link
Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search.	UAI	2017	Link

2015

Title	Venue	Year	Link
Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models.	UAI	2015	Link
Multi-Context Models for Reasoning under Partial Knowledge: Generative Process and Inference Grammar.	UAI	2015	Link

2014

Title	Venue	Year	Link
Bayesian Inference in Treewidth-Bounded Graphical Models Without Indegree Constraints.	UAI	2014	Link
Understanding the Complexity of Lifted Inference and Asymmetric Weighted Model Counting.	UAI	2014	Link

2013

Title	Venue	Year	Link
Automorphism Groups of Graphical Models and Lifted Variational Inference.	UAI	2013	Link
Collective Diffusion Over Networks: Models and Inference.	UAI	2013	Link

2012

Title	Venue	Year	Link
Fast Exact Inference for Recursive Cardinality Models.	UAI	2012	Link

2011

Title	Venue	Year	Link
Compressed Inference for Probabilistic Sequential Models.	UAI	2011	Link
Sequential Inference for Latent Force Models.	UAI	2011	Link

2010

Title	Venue	Year	Link
Lifted Inference for Relational Continuous Models.	UAI	2010	Link

2009

Title	Venue	Year	Link
On Smoothing and Inference for Topic Models.	UAI	2009	Link

2008

Title	Venue	Year	Link
Adaptive inference on general graphical models.	UAI	2008	Link
Complexity of Inference in Graphical Models.	UAI	2008	Link
Hybrid Variational/Gibbs Collapsed Inference in Topic Models.	UAI	2008	Link
Inference for Multiplicative Models.	UAI	2008	Link

2006

Title	Venue	Year	Link
Bayesian Inference for Gaussian Mixed Graph Models.	UAI	2006	Link

1996

Title	Venue	Year	Link
Toward a Market Model for Bayesian Inference.	UAI	1996	Link

1987

Title	Venue	Year	Link
Bayesian Inference in Model-Based Machine Vision.	UAI	1987	Link
Evaluation of Uncertain Inference Models III: The Role of Tuning.	UAI	1987	Link

1986

Title	Venue	Year	Link
Evaulation of uncertain inference models I: PROSPECTOR.	UAI	1986	Link
Models vs inductive inference for dealing with probabilistic knowledge.	UAI	1986	Link

1985

Title	Venue	Year	Link
Model-Based Probabilistic Situation Inference in Hierarchical Hypothesis Spaces.	UAI	1985	Link

IJCAI

Expand IJCAI

2025

Title	Venue	Year	Link
An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks.	IJCAI	2025	Link
Efficient Inter-Operator Scheduling for Concurrent Recommendation Model Inference on GPU.	IJCAI	2025	Link
Good Advisor for Source Localization: Using Large Language Model to Guide the Source Inference Process.	IJCAI	2025	Link
OMS: One More Step Noise Searching to Enhance Membership Inference Attacks for Diffusion Models.	IJCAI	2025	Link
Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning.	IJCAI	2025	Link

2024

Title	Venue	Year	Link
Efficient Tuning and Inference for Large Language Models on Textual Graphs.	IJCAI	2024	Link
Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought.	IJCAI	2024	Link
When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks.	IJCAI	2024	Link

2022

Title	Venue	Year	Link
Overlapping Communities and Roles in Networks with Node Attributes: Probabilistic Graphical Modeling, Bayesian Formulation and Variational Inference (Extended Abstract).	IJCAI	2022	Link
To Trust or Not To Trust Prediction Scores for Membership Inference Attacks.	IJCAI	2022	Link

2021

Title	Venue	Year	Link
Against Membership Inference Attack: Pruning is All You Need.	IJCAI	2021	Link
Fine-Grained Air Quality Inference via Multi-Channel Attention Model.	IJCAI	2021	Link

2020

Title	Venue	Year	Link
Towards Fully 8-bit Integer Inference for the Transformer Model.	IJCAI	2020	Link
Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization.	IJCAI	2020	Link

2019

Title	Venue	Year	Link
The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration.	IJCAI	2019	Link

2018

Title	Venue	Year	Link
Efficient Localized Inference for Large Graphical Models.	IJCAI	2018	Link
Structured Inference for Recurrent Hidden Semi-markov Model.	IJCAI	2018	Link

2017

Title	Venue	Year	Link
Efficient Inference and Computation of Optimal Alternatives for Preference Languages Based On Lexicographic Models.	IJCAI	2017	Link

2015

Title	Venue	Year	Link
Computation and Complexity of Preference Inference Based on Hierarchical Models.	IJCAI	2015	Link
Probabilistic Inference in Hybrid Domains by Weighted Model Integration.	IJCAI	2015	Link

2011

Title	Venue	Year	Link
A General MCMC Method for Bayesian Inference in Logic-Based Probabilistic Modeling.	IJCAI	2011	Link
Visual Task Inference Using Hidden Markov Models.	IJCAI	2011	Link

2007

Title	Venue	Year	Link
Automated Benchmark Model Generators for Model-Based Diagnostic Inference.	IJCAI	2007	Link

2005

Title	Venue	Year	Link
An Inference Model for Semantic Entailment in Natural Language.	IJCAI	2005	Link

1999

Title	Venue	Year	Link
Lemma Generation for Model Elimination by Combining Top-Down and Bottom-Up Inference.	IJCAI	1999	Link

1993

Title	Venue	Year	Link
Nonmonotonic Model Inference-A Formalization of Student Modeling.	IJCAI	1993	Link

1991

Title	Venue	Year	Link
Generalised Inference and Inferential Modelling.	IJCAI	1991	Link

1985

Title	Venue	Year	Link
A Parallel-Process Model of On-Line Inference Processing.	IJCAI	1985	Link

1983

Title	Venue	Year	Link
A Computational Model for Causal and Diagnostic Reasoning in Inference Systems.	IJCAI	1983	Link

1981

Title	Venue	Year	Link
The Framework for a Model of Psychoanalytic Inference.	IJCAI	1981	Link
The Model Inference System.	IJCAI	1981	Link

1979

Title	Venue	Year	Link
Conceptual Lattice: A Unified Model for Medical Inference Processes.	IJCAI	1979	Link

AAAI

Expand AAAI

2025

Title	Venue	Year	Link
ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models.	AAAI	2025	Link
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting.	AAAI	2025	Link
Attribute Inference Attacks for Federated Regression Tasks.	AAAI	2025	Link
BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference.	AAAI	2025	Link
Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference.	AAAI	2025	Link
Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference.	AAAI	2025	Link
DF-MIA: A Distribution-Free Membership Inference Attack on Fine-Tuned Large Language Models.	AAAI	2025	Link
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors.	AAAI	2025	Link
Extracting Interpretable Task-Specific Circuits from Large Language Models for Faster Inference.	AAAI	2025	Link
Falcon: Faster and Parallel Inference of Large Language Models Through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree.	AAAI	2025	Link
HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models.	AAAI	2025	Link
Integrating Inference and Experimental Design for Contextual Behavioral Model Learning.	AAAI	2025	Link
Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery.	AAAI	2025	Link
Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning.	AAAI	2025	Link
Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models.	AAAI	2025	Link
Prompt-based Unifying Inference Attack on Graph Neural Networks.	AAAI	2025	Link
Scalable and Efficient Probabilistic Inference for Bayesian Deep Learning and Generative Modeling.	AAAI	2025	Link
Understanding Annotator Perception: Modeling Psychological Inference from First- and Third-Person Annotations (Student Abstract).	AAAI	2025	Link

2024

Title	Venue	Year	Link
Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference.	AAAI	2024	Link
ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference.	AAAI	2024	Link
Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed.	AAAI	2024	Link
OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models.	AAAI	2024	Link
On Inference Stability for Diffusion Models.	AAAI	2024	Link
SentinelLMs: Encrypted Input Adaptation and Fine-Tuning of Language Models for Private and Secure Inference.	AAAI	2024	Link
Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks.	AAAI	2024	Link

2023

Title	Venue	Year	Link
Causal Inference with Conditional Instruments Using Deep Generative Models.	AAAI	2023	Link
GAN-Based Domain Inference Attack.	AAAI	2023	Link
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling.	AAAI	2023	Link
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores.	AAAI	2023	Link
Redactor: A Data-Centric and Individualized Defense against Inference Attacks.	AAAI	2023	Link
Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference.	AAAI	2023	Link
Similarity Distribution Based Membership Inference Attack on Person Re-identification.	AAAI	2023	Link

2022

Title	Venue	Year	Link
Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model.	AAAI	2022	Link
Inference and Learning with Model Uncertainty in Probabilistic Logic Programs.	AAAI	2022	Link
MLink: Linking Black-Box Models for Collaborative Multi-Model Inference.	AAAI	2022	Link
Probing Linguistic Information for Logical Inference in Pre-trained Language Models.	AAAI	2022	Link
Supervising Model Attention with Human Explanations for Robust Natural Language Inference.	AAAI	2022	Link

2021

Title	Venue	Year	Link
Comparing Symbolic Models of Language via Bayesian Inference (Student Abstract).	AAAI	2021	Link
Improving Causal Inference by Increasing Model Expressiveness.	AAAI	2021	Link

2020

Title	Venue	Year	Link
A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models.	AAAI	2020	Link
Enhancing Natural Language Inference Using New and Expanded Training Data Sets and New Learning Models.	AAAI	2020	Link
Error-Correcting and Verifiable Parallel Inference in Graphical Models.	AAAI	2020	Link
Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm.	AAAI	2020	Link
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series.	AAAI	2020	Link
Probing Natural Language Inference Models through Semantic Fragments.	AAAI	2020	Link

2019

Title	Venue	Year	Link
MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models.	AAAI	2019	Link

2018

Title	Venue	Year	Link
A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations.	AAAI	2018	Link
Probabilistic Inference Over Repeated Insertion Models.	AAAI	2018	Link
Source-Target Inference Models for Spatial Instruction Understanding.	AAAI	2018	Link
Topic Modeling on Health Journals With Regularized Variational Inference.	AAAI	2018	Link

2017

Title	Venue	Year	Link
Structured Inference Networks for Nonlinear State Space Models.	AAAI	2017	Link

2015

Title	Venue	Year	Link
Causal Inference via Sparse Additive Models with Application to Online Advertising.	AAAI	2015	Link
Lifted Probabilistic Inference for Asymmetric Graphical Models.	AAAI	2015	Link

2014

Title	Venue	Year	Link
A Novel Single-DBN Generative Model for Optimizing POMDP Controllers by Probabilistic Inference.	AAAI	2014	Link

2013

Title	Venue	Year	Link
GiSS: Combining Gibbs Sampling and SampleSearch for Inference in Mixed Probabilistic and Deterministic Graphical Models.	AAAI	2013	Link
RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models.	AAAI	2013	Link

2011

Title	Venue	Year	Link
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models.	AAAI	2011	Link
Pushing the Power of Stochastic Greedy Ordering Schemes for Inference in Graphical Models.	AAAI	2011	Link

2010

Title	Venue	Year	Link
Dependence Minimizing Regression with Model Selection for Non-Linear Causal Inference under Non-Gaussian Noise.	AAAI	2010	Link

2008

Title	Venue	Year	Link
Latent Tree Models and Approximate Inference in Bayesian Networks.	AAAI	2008	Link

2007

Title	Venue	Year	Link
Approximate Inference in Probabilistic Graphical Models with Determinism.	AAAI	2007	Link
SUNNY: A New Algorithm for Trust Inference in Social Networks Using Probabilistic Confidence Models.	AAAI	2007	Link

2006

Title	Venue	Year	Link
Performing Incremental Bayesian Inference by Dynamic Model Counting.	AAAI	2006	Link

2005

Title	Venue	Year	Link
An Inference Model for Semantic Entailment in Natural Language.	AAAI	2005	Link
Performing Bayesian Inference by Weighted Model Counting.	AAAI	2005	Link

1987

Title	Venue	Year	Link
Plan Inference and Student Modeling in ICAI.	AAAI	1987	Link

1983

Title	Venue	Year	Link
STRATEGIST: A Program That Models Strategy-Driven and Content-Driven Inference Behavior.	AAAI	1983	Link

AISTATS

Expand AISTATS

2025

Title	Venue	Year	Link
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment.	AISTATS	2025	Link
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference.	AISTATS	2025	Link
SINE: Scalable MPE Inference for Probabilistic Graphical Models using Advanced Neural Embeddings.	AISTATS	2025	Link
Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models.	AISTATS	2025	Link
The Strong Product Model for Network Inference without Independence Assumptions.	AISTATS	2025	Link

2024

Title	Venue	Year	Link
Model-based Policy Optimization under Approximate Bayesian Inference.	AISTATS	2024	Link

2023

Title	Venue	Year	Link
Active Membership Inference Attack under Local Differential Privacy in Federated Learning.	AISTATS	2023	Link
Compositional Probabilistic and Causal Inference using Tractable Circuit Models.	AISTATS	2023	Link
Does Label Differential Privacy Prevent Label Inference Attacks?	AISTATS	2023	Link
Membership Inference Attacks against Synthetic Data through Overfitting Detection.	AISTATS	2023	Link

2022

Title	Venue	Year	Link
CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric Models.	AISTATS	2022	Link
Estimators of Entropy and Information via Inference in Probabilistic Models.	AISTATS	2022	Link
Projection Predictive Inference for Generalized Linear and Additive Multilevel Models.	AISTATS	2022	Link
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap.	AISTATS	2022	Link
Structured variational inference in Bayesian state-space models.	AISTATS	2022	Link

2021

Title	Venue	Year	Link
Inference in Stochastic Epidemic Models via Multinomial Approximations.	AISTATS	2021	Link
Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference.	AISTATS	2021	Link

2020

Title	Venue	Year	Link
Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models.	AISTATS	2020	Link
Black-Box Inference for Non-Linear Latent Force Models.	AISTATS	2020	Link
Logistic regression with peer-group effects via inference in higher-order Ising models.	AISTATS	2020	Link
Prior-aware Composition Inference for Spectral Topic Models.	AISTATS	2020	Link
Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components.	AISTATS	2020	Link
Sharp Asymptotics and Optimal Performance for Inference in Binary Models.	AISTATS	2020	Link
Structured Conditional Continuous Normalizing Flows for Efficient Amortized Inference in Graphical Models.	AISTATS	2020	Link

2019

Title	Venue	Year	Link
Efficient Inference in Multi-task Cox Process Models.	AISTATS	2019	Link
Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models.	AISTATS	2019	Link
High Dimensional Inference in Partially Linear Models.	AISTATS	2019	Link
High-dimensional Mixed Graphical Model with Ordinal Data: Parameter Estimation and Statistical Inference.	AISTATS	2019	Link
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers.	AISTATS	2019	Link

2018

Title	Venue	Year	Link
Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models.	AISTATS	2018	Link

2017

Title	Venue	Year	Link
Asymptotically exact inference in differentiable generative models.	AISTATS	2017	Link
Conjugate-Computation Variational Inference: Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models.	AISTATS	2017	Link
Gray-box Inference for Structured Gaussian Process Models.	AISTATS	2017	Link

2016

Title	Venue	Year	Link
A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models.	AISTATS	2016	Link
Approximate Inference Using DC Programming For Collective Graphical Models.	AISTATS	2016	Link
Inference for High-dimensional Exponential Family Graphical Models.	AISTATS	2016	Link
Score Permutation Based Finite Sample Inference for Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) Models.	AISTATS	2016	Link

2015

Title	Venue	Year	Link
A Spectral Algorithm for Inference in Hidden semi-Markov Models.	AISTATS	2015	Link
Streaming Variational Inference for Bayesian Nonparametric Mixture Models.	AISTATS	2015	Link

2013

Title	Venue	Year	Link
Collapsed Variational Bayesian Inference for Hidden Markov Models.	AISTATS	2013	Link

2012

Title	Venue	Year	Link
Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling.	AISTATS	2012	Link
Factorized Asymptotic Bayesian Inference for Mixture Modeling.	AISTATS	2012	Link
Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models.	AISTATS	2012	Link
Fast interior-point inference in high-dimensional sparse, penalized state-space models.	AISTATS	2012	Link
Memory-efficient inference in dynamic graphical models using multiple cores.	AISTATS	2012	Link

2011

Title	Venue	Year	Link
Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models.	AISTATS	2011	Link
Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure.	AISTATS	2011	Link
Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text.	AISTATS	2011	Link
Switch-Reset Models : Exact and Approximate Inference.	AISTATS	2011	Link

2010

Title	Venue	Year	Link
Approximate parameter inference in a stochastic reaction-diffusion model.	AISTATS	2010	Link
Deterministic Bayesian inference for the p* model.	AISTATS	2010	Link

2007

Title	Venue	Year	Link
Bayesian Inference and Optimal Design in the Sparse Linear Model.	AISTATS	2007	Link
Seeking The Truly Correlated Topic Posterior - on tight approximate inference of logistic-normal admixture model.	AISTATS	2007	Link

1997

Title	Venue	Year	Link
Approximate Inference and Forecast Algorithms in Graphical Models for Partially Observed Dynamic Systems.	AISTATS	1997	Link
Estimating Latent Causal Inferences: Tetrad II model selection and Bayesian parameter estimation.	AISTATS	1997	Link
Inductive Inference of First-Order Models from Numeric-Symbolic Data.	AISTATS	1997	Link

KDD

Expand KDD

2025

Title	Venue	Year	Link
Adaptive Domain Inference Attack with Concept Hierarchy.	KDD	2025	Link
Controlling Diversity at Inference: Guiding Diffusion Recommender Models with Targeted Category Preferences.	KDD	2025	Link
Exploiting Student Parallelism for Low-latency GPU Inference of BERT-like Models in Online Services.	KDD	2025	Link

2024

Title	Venue	Year	Link
DiffCrime: A Multimodal Conditional Diffusion Model for Crime Risk Map Inference.	KDD	2024	Link
Inference Optimization of Foundation Models on AI Accelerators.	KDD	2024	Link
Lookahead: An Inference Acceleration Framework for Large Language Model with Lossless Generation Accuracy.	KDD	2024	Link

2023

Title	Venue	Year	Link
IPOC: An Adaptive Interval Prediction Model based on Online Chasing and Conformal Inference for Large-Scale Systems.	KDD	2023	Link
Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference.	KDD	2023	Link

2022

Title	Venue	Year	Link
Debiasing Learning for Membership Inference Attacks Against Recommender Systems.	KDD	2022	Link

2021

Title	Venue	Year	Link
Defending Privacy Against More Knowledgeable Membership Inference Attackers.	KDD	2021	Link
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu.	KDD	2021	Link
PAR-GAN: Improving the Generalization of Generative Adversarial Networks Against Membership Inference Attacks.	KDD	2021	Link

2013

Title	Venue	Year	Link
Scalable inference in max-margin topic models.	KDD	2013	Link

2010

Title	Venue	Year	Link
Trust network inference for online rating data using generative models.	KDD	2010	Link

2009

Title	Venue	Year	Link
Efficient methods for topic model inference on streaming document collections.	KDD	2009	Link

WSDM

Expand WSDM

2025

Title	Venue	Year	Link
Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data.	WSDM	2025	Link
Lightning IR: Straightforward Fine-tuning and Inference of Transformer-based Language Models for Information Retrieval.	WSDM	2025	Link

2024

Title	Venue	Year	Link
Integrating Knowledge Graph Data with Large Language Models for Explainable Inference.	WSDM	2024	Link
User Consented Federated Recommender System Against Personalized Attribute Inference Attack.	WSDM	2024	Link

2012

Title	Venue	Year	Link
Scalable inference in latent variable models.	WSDM	2012	Link

CCS

Expand CCS

2025

Title	Venue	Year	Link
BFId: Identity Inference Attacks Utilizing Beamforming Feedback Information.	CCS	2025	Link
DCMI: A Differential Calibration Membership Inference Attack Against Retrieval-Augmented Generation.	CCS	2025	Link
Membership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble.	CCS	2025	Link
Prompt Inference Attack on Distributed Large Language Model Inference Frameworks.	CCS	2025	Link
SCOPE: Expanding Client-Side Post-Processing for Efficient Privacy-Preserving Model Inference.	CCS	2025	Link
Safeguarding Graph Neural Networks against Topology Inference Attacks.	CCS	2025	Link

2024

Title	Venue	Year	Link
GAZEploit: Remote Keystroke Inference Attack by Gaze Estimation from Avatar Views in VR/MR Devices.	CCS	2024	Link
Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks.	CCS	2024	Link
Membership Inference Attacks Against In-Context Learning.	CCS	2024	Link
Membership Inference Attacks against Vision Transformers: Mosaic MixUp Training to the Defense.	CCS	2024	Link
Poster: Protection against Source Inference Attacks in Federated Learning using Unary Encoding and Shuffling.	CCS	2024	Link
QueryCheetah: Fast Automated Discovery of Attribute Inference Attacks Against Query-Based Systems.	CCS	2024	Link
SeqMIA: Sequential-Metric Based Membership Inference Attack.	CCS	2024	Link

2023

Title	Venue	Year	Link
DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass.	CCS	2023	Link
Poster: Membership Inference Attacks via Contrastive Learning.	CCS	2023	Link

2022

Title	Venue	Year	Link
A Run a Day Won't Keep the Hacker Away: Inference Attacks on Endpoint Privacy Zones in Fitness Tracking Social Networks.	CCS	2022	Link
Are Attribute Inference Attacks Just Imputation?	CCS	2022	Link
Enhanced Membership Inference Attacks against Machine Learning Models.	CCS	2022	Link
Feature Inference Attack on Shapley Values.	CCS	2022	Link
Group Property Inference Attacks Against Graph Neural Networks.	CCS	2022	Link
Membership Inference Attacks and Generalization: A Causal Perspective.	CCS	2022	Link
Membership Inference Attacks by Exploiting Loss Trajectory.	CCS	2022	Link
QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems.	CCS	2022	Link

2021

Title	Venue	Year	Link
Membership Inference Attacks Against Recommender Systems.	CCS	2021	Link
Membership Inference Attacks against GANs by Leveraging Over-representation Regions.	CCS	2021	Link
Periscope: A Keystroke Inference Attack Using Human Coupled Electromagnetic Emanations.	CCS	2021	Link
Unleashing the Tiger: Inference Attacks on Split Learning.	CCS	2021	Link

2020

Title	Venue	Year	Link
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models.	CCS	2020	Link

2019

Title	Venue	Year	Link
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples.	CCS	2019	Link

2018

Title	Venue	Year	Link
Property Inference Attacks on Fully Connected Neural Networks using Permutation Invariant Representations.	CCS	2018	Link

2016

Title	Venue	Year	Link
The Shadow Nemesis: Inference Attacks on Efficiently Deployable, Efficiently Searchable Encryption.	CCS	2016	Link

2015

Title	Venue	Year	Link
Inference Attacks on Property-Preserving Encrypted Databases.	CCS	2015	Link

2012

Title	Venue	Year	Link
Collaborative TCP sequence number inference attack: how to crack sequence number under a second.	CCS	2012	Link

2011

Title	Venue	Year	Link
Poster: inference attacks against searchable encryption protocols.	CCS	2011	Link

2010

Title	Venue	Year	Link
Inference and analysis of formal models of botnet command and control protocols.	CCS	2010	Link
Protecting location privacy against inference attacks.	CCS	2010	Link

2003

Title	Venue	Year	Link
Incentive-based modeling and inference of attacker intent, objectives, and strategies.	CCS	2003	Link

ACL

Expand ACL

2025

Title	Venue	Year	Link
A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models.	ACL	2025	Link
Bridging the Language Gaps in Large Language Models with Inference-Time Cross-Lingual Intervention.	ACL	2025	Link
DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration.	ACL	2025	Link
DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale.	ACL	2025	Link
DIESEL: A Lightweight Inference-Time Safety Enhancement for Language Models.	ACL	2025	Link
DiffPO: Diffusion-styled Preference Optimization for Inference Time Alignment of Large Language Models.	ACL	2025	Link
Energy Considerations of Large Language Model Inference and Efficiency Optimizations.	ACL	2025	Link
Explicit Bayesian Inference to Uncover the Latent Themes of Large Language Models.	ACL	2025	Link
FlashBack: Efficient Retrieval-Augmented Language Modeling for Fast Inference.	ACL	2025	Link
HATA: Trainable and Hardware-Efficient Hash-Aware Top-k Attention for Scalable Large Model Inference.	ACL	2025	Link
Inference Compute-Optimal Video Vision Language Models.	ACL	2025	Link
Mechanistic Interpretability of Emotion Inference in Large Language Models.	ACL	2025	Link
Position-Aware Depth Decay Decoding (D³): Boosting Large Language Model Inference Efficiency.	ACL	2025	Link
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration.	ACL	2025	Link
Reasoning Circuits in Language Models: A Mechanistic Interpretation of Syllogistic Inference.	ACL	2025	Link
SPECTRA: Faster Large Language Model Inference with Optimized Internal and External Speculation.	ACL	2025	Link
Sampling-based Pseudo-Likelihood for Membership Inference Attacks.	ACL	2025	Link
Scaling Laws and Efficient Inference for Ternary Language Models.	ACL	2025	Link
Statistical inference on black-box generative models in the data kernel perspective space.	ACL	2025	Link
Syntactic Control of Language Models by Posterior Inference.	ACL	2025	Link
Task Calibration: Calibrating Large Language Models on Inference Tasks.	ACL	2025	Link
Tokens for Learning, Tokens for Unlearning: Mitigating Membership Inference Attacks in Large Language Models via Dual-Purpose Training.	ACL	2025	Link
Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling.	ACL	2025	Link
User-side Model Consistency Monitoring for Open Source Large Language Models Inference Services.	ACL	2025	Link

2024

Title	Venue	Year	Link
Distilling Robustness into Natural Language Inference Models with Domain-Targeted Augmentation.	ACL	2024	Link
Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct Decoding.	ACL	2024	Link
Inference to the Best Explanation in Large Language Models.	ACL	2024	Link
LLM in a flash: Efficient Large Language Model Inference with Limited Memory.	ACL	2024	Link
Layer-Condensed KV Cache for Efficient Inference of Large Language Models.	ACL	2024	Link
Multi-Task Inference: Can Large Language Models Follow Multiple Instructions at Once?	ACL	2024	Link
SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC.	ACL	2024	Link
Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding.	ACL	2024	Link

2023

Title	Venue	Year	Link
Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference !	ACL	2023	Link
Combining Tradition with Modernness: Exploring Event Representations in Vision-and-Language Models for Visual Goal-Step Inference.	ACL	2023	Link
Jamp: Controlled Japanese Temporal Inference Dataset for Evaluating Generalization Capacity of Language Models.	ACL	2023	Link
Language Model Analysis for Ontology Subsumption Inference.	ACL	2023	Link
Membership Inference Attacks against Language Models via Neighbourhood Comparison.	ACL	2023	Link
Modeling Cross-Cultural Pragmatic Inference with Codenames Duet.	ACL	2023	Link
NarrowBERT: Accelerating Masked Language Model Pretraining and Inference.	ACL	2023	Link
NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic.	ACL	2023	Link
Petals: Collaborative Inference and Fine-tuning of Large Models.	ACL	2023	Link
Pre-training Multi-party Dialogue Models with Latent Discourse Inference.	ACL	2023	Link
Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference.	ACL	2023	Link

2022

Title	Venue	Year	Link
BMInf: An Efficient Toolkit for Big Model Inference and Tuning.	ACL	2022	Link
ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference.	ACL	2022	Link

2020

Title	Venue	Year	Link
Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition.	ACL	2020	Link
Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?	ACL	2020	Link

2018

Title	Venue	Year	Link
Neural Natural Language Inference Models Enhanced with External Knowledge.	ACL	2018	Link
Variational Inference and Deep Generative Models.	ACL	2018	Link

2016

Title	Venue	Year	Link
A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings.	ACL	2016	Link
Models and Inference for Prefix-Constrained Machine Translation.	ACL	2016	Link
Using Sentence-Level LSTM Language Models for Script Inference.	ACL	2016	Link

2015

Title	Venue	Year	Link
Unifying Bayesian Inference and Vector Space Models for Improved Decipherment.	ACL	2015	Link

2013

Title	Venue	Year	Link
A Markov Model of Machine Translation using Non-parametric Bayesian Inference.	ACL	2013	Link
A Two Level Model for Context Sensitive Inference Rules.	ACL	2013	Link
Exact Maximum Inference for the Fertility Hidden Markov Model.	ACL	2013	Link
Modeling Human Inference Process for Textual Entailment Recognition.	ACL	2013	Link
Variational Inference for Structured NLP Models.	ACL	2013	Link

2011

Title	Venue	Year	Link
Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models.	ACL	2011	Link

2006

Title	Venue	Year	Link
Scalable Inference and Training of Context-Rich Syntactic Translation Models.	ACL	2006	Link

1986

Title	Venue	Year	Link
A Model of Plan Inference that Distinguishes between the Beliefs of Actors and observers.	ACL	1986	Link

NAACL-HLT

Expand NAACL-HLT

2024

Title	Venue	Year	Link
Causal Inference for Human-Language Model Collaboration.	NAACL-HLT	2024	Link
DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling.	NAACL-HLT	2024	Link
MDR: Model-Specific Demonstration Retrieval at Inference Time for In-Context Learning.	NAACL-HLT	2024	Link

2022

Title	Venue	Year	Link
Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge.	NAACL-HLT	2022	Link
Easy and Efficient Transformer: Scalable Inference Solution For Large NLP Model.	NAACL-HLT	2022	Link

2021

Title	Venue	Year	Link
A Global Past-Future Early Exit Method for Accelerating Inference of Pre-trained Language Models.	NAACL-HLT	2021	Link
An Architecture for Accelerated Large-Scale Inference of Transformer-Based Language Models.	NAACL-HLT	2021	Link
Probing for Bridging Inference in Transformer Language Models.	NAACL-HLT	2021	Link

2019

Title	Venue	Year	Link
Scalable Collapsed Inference for High-Dimensional Topic Models.	NAACL-HLT	2019	Link

EMNLP

Expand EMNLP

2025

Title	Venue	Year	Link
Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models.	EMNLP	2025	Link
Context-Aware Membership Inference Attacks against Pre-trained Large Language Models.	EMNLP	2025	Link
Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference.	EMNLP	2025	Link
EcoTune: Token-Efficient Multi-Fidelity Hyperparameter Optimization for Large Language Model Inference.	EMNLP	2025	Link
Identifying Unlearned Data in LLMs via Membership Inference Attacks.	EMNLP	2025	Link
Phi: Preference Hijacking in Multi-modal Large Language Models at Inference Time.	EMNLP	2025	Link
SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformation.	EMNLP	2025	Link
The discordance between embedded ethics and cultural inference in large language models.	EMNLP	2025	Link
Train It and Forget It: Merge Lists are Unnecessary for BPE Inference in Language Models.	EMNLP	2025	Link
Two Heads Are Better Than One: Dual-Model Verbal Reflection at Inference-Time.	EMNLP	2025	Link
Unilaw-R1: A Large Language Model for Legal Reasoning with Reinforcement Learning and Iterative Inference.	EMNLP	2025	Link
Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models.	EMNLP	2025	Link

2024

Title	Venue	Year	Link
A Systematic Analysis of Large Language Models as Soft Reasoners: The Case of Syllogistic Inferences.	EMNLP	2024	Link
An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Language Model Inference.	EMNLP	2024	Link
An Inversion Attack Against Obfuscated Embedding Matrix in Language Model Inference.	EMNLP	2024	Link
Code Membership Inference for Detecting Unauthorized Data Use in Code Pre-trained Language Models.	EMNLP	2024	Link
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models.	EMNLP	2024	Link
EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees.	EMNLP	2024	Link
Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently.	EMNLP	2024	Link
Explicit Inductive Inference using Large Language Models.	EMNLP	2024	Link
FastAdaSP: Multitask-Adapted Efficient Inference for Large Speech Language Model.	EMNLP	2024	Link
InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance.	EMNLP	2024	Link
Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation.	EMNLP	2024	Link
Inference-Time Language Model Alignment via Integrated Value Guidance.	EMNLP	2024	Link
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training.	EMNLP	2024	Link
Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models.	EMNLP	2024	Link
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model.	EMNLP	2024	Link
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning.	EMNLP	2024	Link
Pruning Multilingual Large Language Models for Multilingual Inference.	EMNLP	2024	Link
QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models.	EMNLP	2024	Link
Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting Summarization.	EMNLP	2024	Link
TensorOpera Router: A Multi-Model Router for Efficient LLM Inference.	EMNLP	2024	Link
User Inference Attacks on Large Language Models.	EMNLP	2024	Link

2023

Title	Venue	Year	Link
Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inference.	EMNLP	2023	Link
Batch Prompting: Efficient Inference with Large Language Model APIs.	EMNLP	2023	Link
Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models.	EMNLP	2023	Link
Compressing Context to Enhance Inference Efficiency of Large Language Models.	EMNLP	2023	Link
GD-COMET: A Geo-Diverse Commonsense Inference Model.	EMNLP	2023	Link
HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference.	EMNLP	2023	Link
Integrating Language Models into Direct Speech Translation: An Inference-Time Solution to Control Gender Inflection.	EMNLP	2023	Link
LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models.	EMNLP	2023	Link
LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference.	EMNLP	2023	Link
SAMP: A Model Inference Toolkit of Post-Training Quantization for Text Processing via Self-Adaptive Mixed-Precision.	EMNLP	2023	Link
Sources of Hallucination by Large Language Models on Inference Tasks.	EMNLP	2023	Link
Speech-enriched Memory for Inference-time Adaptation of ASR Models to Word Dictionaries.	EMNLP	2023	Link
TCRA-LLM: Token Compression Retrieval Augmented Large Language Model for Inference Cost Reduction.	EMNLP	2023	Link

2022

Title	Venue	Year	Link
Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference.	EMNLP	2022	Link
Language Models Are Poor Learners of Directional Inference.	EMNLP	2022	Link
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks.	EMNLP	2022	Link
Simple but Challenging: Natural Language Inference Models Fail on Simple Sentences.	EMNLP	2022	Link
TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion.	EMNLP	2022	Link

2021

Title	Venue	Year	Link
CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade.	EMNLP	2021	Link

2020

Title	Venue	Year	Link
General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference.	EMNLP	2020	Link

2018

Title	Venue	Year	Link
GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model.	EMNLP	2018	Link
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference.	EMNLP	2018	Link
Lexicosyntactic inference in neural models.	EMNLP	2018	Link
Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension.	EMNLP	2018	Link

2016

Title	Venue	Year	Link
A Decomposable Attention Model for Natural Language Inference.	EMNLP	2016	Link

2015

Title	Venue	Year	Link
Dual Decomposition Inference for Graphical Models over Strings.	EMNLP	2015	Link

2014

Title	Venue	Year	Link
Sometimes Average is Best: The Importance of Averaging for Prediction using MCMC Inference in Topic Modeling.	EMNLP	2014	Link

2008

Title	Venue	Year	Link
A Phrase-Based Alignment Model for Natural Language Inference.	EMNLP	2008	Link

COLING

Expand COLING

2025

Title	Venue	Year	Link
Biases in Large Language Model-Elicited Text: A Case Study in Natural Language Inference.	COLING	2025	Link
Leveraging Explicit Reasoning for Inference Integration in Commonsense-Augmented Dialogue Models.	COLING	2025	Link
QuickLLaMA: Query-aware Inference Acceleration for Large Language Models.	COLING	2025	Link
Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference.	COLING	2025	Link

2022

Title	Venue	Year	Link
Accelerating Inference for Pretrained Language Models by Unified Multi-Perspective Early Exiting.	COLING	2022	Link
Community Topic: Topic Model Inference by Consecutive Word Community Discovery.	COLING	2022	Link
Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences.	COLING	2022	Link
Testing Large Language Models on Compositionality and Inference with Phrase-Level Adjective-Noun Entailment.	COLING	2022	Link

2018

Title	Venue	Year	Link
Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering.	COLING	2018	Link

2016

Title	Venue	Year	Link
Fast Inference for Interactive Models of Text.	COLING	2016	Link

2008

Title	Venue	Year	Link
Exact Inference for Multi-label Classification using Sparse Graphical Models.	COLING	2008	Link
Modeling Latent-Dynamic in Shallow Parsing: A Latent Conditional Model with Imrpoved Inference.	COLING	2008	Link
Modeling Semantic Containment and Exclusion in Natural Language Inference.	COLING	2008	Link

ICDE

Expand ICDE

2025

Title	Venue	Year	Link
Defending against Attribute Inference Attacks in Post-Training of Recommendation Systems via Unlearning.	ICDE	2025	Link
SeSeMI: Secure Serverless Model Inference on Sensitive Data.	ICDE	2025	Link

2024

Title	Venue	Year	Link
Etude - Evaluating the Inference Latency of Session-Based Recommendation Models at Scale.	ICDE	2024	Link

2023

Title	Venue	Year	Link
Marshalling Model Inference in Video Streams.	ICDE	2023	Link

2021

Title	Venue	Year	Link
Feature Inference Attack on Model Predictions in Vertical Federated Learning.	ICDE	2021	Link

ICDM

Expand ICDM

2024

Title	Venue	Year	Link
Formal Classifier of a Rhythmic Structure Model for Inference about Linguistic Text Properties.	ICDM	2024	Link

2021

Title	Venue	Year	Link
Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications.	ICDM	2021	Link
Source Inference Attacks in Federated Learning.	ICDM	2021	Link
Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence.	ICDM	2021	Link

2016

Title	Venue	Year	Link
Streaming Model Selection via Online Factorized Asymptotic Bayesian Inference.	ICDM	2016	Link

WACV

Expand WACV

2025

Title	Venue	Year	Link
Deduce and Select Evidences with Language Models for Training-Free Video Goal Inference.	WACV	2025	Link
Improving Faithfulness of Text-to-Image Diffusion Models through Inference Intervention.	WACV	2025	Link

2024

Title	Venue	Year	Link
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models.	WACV	2024	Link
Membership Inference Attack Using Self Influence Functions.	WACV	2024	Link
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks.	WACV	2024	Link
Towards More Realistic Membership Inference Attacks on Large Diffusion Models.	WACV	2024	Link

2020

Title	Venue	Year	Link
QUICKSAL: A small and sparse visual saliency model for efficient inference in resource constrained hardware.	WACV	2020	Link
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference.	WACV	2020	Link

SIGCOMM

Expand SIGCOMM

2024

Title	Venue	Year	Link
POSTER: In-network Model Inference for Distributed Systems via Programmable Switches.	SIGCOMM	2024	Link

2023

Title	Venue	Year	Link
AdaInf: Data Drift Adaptive Scheduling for Accurate and SLO-guaranteed Multiple-Model Inference Serving at Edge Servers.	SIGCOMM	2023	Link

INFOCOM

Expand INFOCOM

2025

Title	Venue	Year	Link
Affinity-Model: Improving AS Routing Models via AS Affinity Behavior Inference.	INFOCOM	2025	Link
C2F: Enabling Context-Aware Edge-Cloud Collaborative Inference for Foundation Models.	INFOCOM	2025	Link
Online Scheduling of Edge Multiple- Model Inference with DAG Structure and Retraining.	INFOCOM	2025	Link
Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing.	INFOCOM	2025	Link
SPIN: Accelerating Large Language Model Inference with Heterogeneous Speculative Models.	INFOCOM	2025	Link
Towards Federated Inference: An Online Model Ensemble Framework for Cooperative Edge AI.	INFOCOM	2025	Link

2024

Title	Venue	Year	Link
Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization.	INFOCOM	2024	Link
Online Resource Allocation for Edge Intelligence with Colocated Model Retraining and Inference.	INFOCOM	2024	Link
Towards Space Intelligence: Adaptive Scheduling of Satellite-Ground Collaborative Model Inference with Space Edge Computing.	INFOCOM	2024	Link

2023

Title	Venue	Year	Link
Mixup Training for Generative Models to Defend Membership Inference Attacks.	INFOCOM	2023	Link

2022

Title	Venue	Year	Link
Distributed Inference with Deep Learning Models across Heterogeneous Edge Devices.	INFOCOM	2022	Link

2019

Title	Venue	Year	Link
Statistical Enrichment Models for Activity Inference from Imprecise Location Data.	INFOCOM	2019	Link

2017

Title	Venue	Year	Link
Botnet protocol inference in the presence of encrypted traffic.	INFOCOM	2017	Link

MobiCom

Expand MobiCom

2025

Title	Venue	Year	Link
Demo: Split-and-Pipeline: Collaborative Large Model Inference on Edge Devices.	MobiCom	2025	Link
Poster: KeyRadar: Contactless Touchscreen Keystroke Inference via mmWave Sensing and Language Models.	MobiCom	2025	Link
Poster: MoE2: Optimizing Collaborative Inference for Edge Large Language Models.	MobiCom	2025	Link

2022

Title	Venue	Year	Link
Deep learning model optimization for faster inference using multi-task learning for embedded systems.	MobiCom	2022	Link
ST-ICM: spatial-temporal inference calibration model for low cost fine-grained mobile sensing.	MobiCom	2022	Link

NSDI

Expand NSDI

2021

Title	Venue	Year	Link
Mistify: Automating DNN Model Porting for On-Device Inference at the Edge.	NSDI	2021	Link

2019

Title	Venue	Year	Link
Alembic: Automated Model Inference for Stateful Network Functions.	NSDI	2019	Link

WWW

Expand WWW

2025

Title	Venue	Year	Link
A Co-Attentive Infusion of Structural Knowledge into Language Models towards Legal Textual Inference.	WWW	2025	Link
Aegis: Post-Training Attribute Unlearning in Federated Recommender Systems against Attribute Inference Attacks.	WWW	2025	Link
BATON: Enhancing Batch-wise Inference Efficiency for Large Language Models via Dynamic Re-batching.	WWW	2025	Link
Mask-based Membership Inference Attacks for Retrieval-Augmented Generation.	WWW	2025	Link
Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Model.	WWW	2025	Link

2024

Title	Venue	Year	Link
A Method for Assessing Inference Patterns Captured by Embedding Models in Knowledge Graphs.	WWW	2024	Link
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation.	WWW	2024	Link
Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks.	WWW	2024	Link

2023

Title	Venue	Year	Link
Ginver: Generative Model Inversion Attacks Against Collaborative Inference.	WWW	2023	Link
Interaction-level Membership Inference Attack Against Federated Recommender Systems.	WWW	2023	Link
Membership Inference Attacks Against Sequential Recommender Systems.	WWW	2023	Link

2022

Title	Venue	Year	Link
GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates.	WWW	2022	Link

2021

Title	Venue	Year	Link
Graph Embedding for Recommendation against Attribute Inference Attacks.	WWW	2021	Link

2019

Title	Venue	Year	Link
Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference.	WWW	2019	Link
Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations.	WWW	2019	Link

2018

Title	Venue	Year	Link
Attribution Inference for Digital Advertising using Inhomogeneous Poisson Models.	WWW	2018	Link

2017

Title	Venue	Year	Link
Particle Filter Inference based on Activities for Overlapping Community Models.	WWW	2017	Link

2013

Title	Venue	Year	Link
I know the shortened URLs you clicked on Twitter: inference attack using public click analytics and Twitter metadata.	WWW	2013	Link
MATRI: a multi-aspect and transitive trust inference model.	WWW	2013	Link

2012

Title	Venue	Year	Link
Mr. LDA: a flexible large scale topic modeling package using variational inference in MapReduce.	WWW	2012	Link

2011

Title	Venue	Year	Link
Automatic sanitization of social network data to prevent inference attacks.	WWW	2011	Link

2004

Title	Venue	Year	Link
Reactive rules inference from dynamic dependency models.	WWW	2004	Link

OSDI

Expand OSDI

2025

Title	Venue	Year	Link
WaferLLM: Large Language Model Inference at Wafer Scale.	OSDI	2025	Link

2024

Title	Venue	Year	Link
InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management.	OSDI	2024	Link
ServerlessLLM: Low-Latency Serverless Inference for Large Language Models.	OSDI	2024	Link

SOSP

Expand SOSP

2025

Title	Venue	Year	Link
KTransformers: Unleashing the Full Potential of CPU/GPU Hybrid Inference for MoE Models.	SOSP	2025	Link
PrefillOnly: An Inference Engine for Prefill-only Workloads in Large Language Model Applications.	SOSP	2025	Link

ISCA

Expand ISCA

2025

Title	Venue	Year	Link
AMALI: An Analytical Model for Accurately Modeling LLM Inference on Modern GPUs.	ISCA	2025	Link
SpecEE: Accelerating Large Language Model Inference with Speculative Early Exiting.	ISCA	2025	Link

2024

Title	Venue	Year	Link
ALISA: Accelerating Large Language Model Inference via Sparsity-Aware KV Caching.	ISCA	2024	Link
LLMCompass: Enabling Efficient Hardware Design for Large Language Model Inference.	ISCA	2024	Link

2022

Title	Venue	Year	Link
Mokey: enabling narrow fixed-point inference for out-of-the-box floating-point transformer models.	ISCA	2022	Link

MLSys

Expand MLSys

2025

Title	Venue	Year	Link
Seesaw: High-throughput LLM Inference via Model Re-sharding.	MLSys	2025	Link

2024

Title	Venue	Year	Link
FlashDecoding++: Faster Large Language Model Inference with Asynchronization, Flat GEMM Optimization, and Heuristics.	MLSys	2024	Link
HeteGen: Efficient Heterogeneous Parallel Inference for Large Language Models on Resource-Constrained Devices.	MLSys	2024	Link

2022

Title	Venue	Year	Link
URSABench: A System for Comprehensive Benchmarking of Bayesian Deep Neural Network Models and Inference methods.	MLSys	2022	Link

2021

Title	Venue	Year	Link
Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference.	MLSys	2021	Link

DAC

Expand DAC

2025

Title	Venue	Year	Link
AASD: Accelerate Inference by Aligning Speculative Decoding in Multimodal Large Language Models.	DAC	2025	Link
Ensembler: Protect Collaborative Inference Privacy from Model Inversion Attack via Selective Ensemble.	DAC	2025	Link
ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-Based Fault Tolerance.	DAC	2025	Link

2023

Title	Venue	Year	Link
A Memory-Efficient Edge Inference Accelerator with XOR-based Model Compression.	DAC	2023	Link

2022

Title	Venue	Year	Link
QuiltNet: efficient deep learning inference on multi-chip accelerators using model partitioning.	DAC	2022	Link
Sniper: cloud-edge collaborative inference scheduling with neural network similarity modeling.	DAC	2022	Link

2020

Title	Venue	Year	Link
Accurate Inference with Inaccurate RRAM Devices: Statistical Data, Model Transfer, and On-line Adaptation.	DAC	2020	Link

2019

Title	Venue	Year	Link
Analog/Mixed-Signal Hardware Error Modeling for Deep Learning Inference.	DAC	2019	Link

2014

Title	Venue	Year	Link
Remembrance of Transistors Past: Compact Model Parameter Extraction Using Bayesian Inference and Incomplete New Measurements.	DAC	2014	Link

SP

Expand SP

2025

Title	Venue	Year	Link
Blind Baselines Beat Membership Inference Attacks for Foundation Models.	SP	2025	Link
Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity.	SP	2025	Link
Inference Attacks for X-Vector Speaker Anonymization.	SP	2025	Link
Membership Inference Attacks on Sequence Models.	SP	2025	Link
Prompt Inversion Attack Against Collaborative Inference of Large Language Models.	SP	2025	Link
Rigging the Foundation: Manipulating Pre-training for Advanced Membership Inference Attacks.	SP	2025	Link

2024

Title	Venue	Year	Link
Please Tell Me More: Privacy Impact of Explainability through the Lens of Membership Inference Attack.	SP	2024	Link

2023

Title	Venue	Year	Link
Membership Inference Attacks against Diffusion Models.	SP	2023	Link
ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks.	SP	2023	Link

2022

Title	Venue	Year	Link
Membership Inference Attacks From First Principles.	SP	2022	Link

IEEE Symposium on Security and Privacy Workshops

Expand IEEE Symposium on Security and Privacy Workshops

2019

Title	Venue	Year	Link
Membership Inference Attacks Against Adversarially Robust Deep Learning Models.	IEEE Symposium on Security and Privacy Workshops	2019	Link

2016

Title	Venue	Year	Link
Sensor-Based Mobile Web Fingerprinting and Cross-Site Input Inference Attacks.	IEEE Symposium on Security and Privacy Workshops	2016	Link

2015

Title	Venue	Year	Link
Quantifying Genomic Privacy via Inference Attack with High-Order SNV Correlations.	IEEE Symposium on Security and Privacy Workshops	2015	Link

2013

Title	Venue	Year	Link
Preventive Inference Control in Data-centric Business Models.	IEEE Symposium on Security and Privacy Workshops	2013	Link

IEEE Symposium on Security and Privacy

Expand IEEE Symposium on Security and Privacy

2019

Title	Venue	Year	Link
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning.	IEEE Symposium on Security and Privacy	2019	Link

2017

Title	Venue	Year	Link
Membership Inference Attacks Against Machine Learning Models.	IEEE Symposium on Security and Privacy	2017	Link

2016

Title	Venue	Year	Link
No Pardon for the Interruption: New Inference Attacks on Android Through Interrupt Timing Analysis.	IEEE Symposium on Security and Privacy	2016	Link
Return to the Zombie Gadgets: Undermining Destructive Code Reads via Code Inference Attacks.	IEEE Symposium on Security and Privacy	2016	Link

2012

Title	Venue	Year	Link
Off-path TCP Sequence Number Inference Attack - How Firewall Middleboxes Reduce Security.	IEEE Symposium on Security and Privacy	2012	Link

S&P

Expand S&P

1985

Title	Venue	Year	Link
Rounding and Inference Controlin Conceptual Models for Statistical Databases.	S&P	1985	Link

USENIX Security Symposium

Expand USENIX Security Symposium

2025

Title	Venue	Year	Link
Disparate Privacy Vulnerability: Targeted Attribute Inference Attacks and Defenses.	USENIX Security Symposium	2025	Link
Enhanced Label-Only Membership Inference Attacks with Fewer Queries.	USENIX Security Symposium	2025	Link
I Know What You Said: Unveiling Hardware Cache Side-Channels in Local Large Language Model Inference.	USENIX Security Symposium	2025	Link
Membership Inference Attacks Against Vision-Language Models.	USENIX Security Symposium	2025	Link
Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective.	USENIX Security Symposium	2025	Link
Revisiting Training-Inference Trigger Intensity in Backdoor Attacks.	USENIX Security Symposium	2025	Link
SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks.	USENIX Security Symposium	2025	Link
Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models.	USENIX Security Symposium	2025	Link

2024

Title	Venue	Year	Link
A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic Data.	USENIX Security Symposium	2024	Link
Can Virtual Reality Protect Users from Keystroke Inference Attacks?	USENIX Security Symposium	2024	Link
Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models.	USENIX Security Symposium	2024	Link
Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks.	USENIX Security Symposium	2024	Link
MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training.	USENIX Security Symposium	2024	Link
Property Existence Inference against Generative Models.	USENIX Security Symposium	2024	Link
Yes, One-Bit-Flip Matters! Universal DNN Model Inference Depletion with Runtime Code Fault Injection.	USENIX Security Symposium	2024	Link

2023

Title	Venue	Year	Link
Towards a General Video-based Keystroke Inference Attack.	USENIX Security Symposium	2023	Link

2022

Title	Venue	Year	Link
Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models.	USENIX Security Symposium	2022	Link
Inference Attacks Against Graph Neural Networks.	USENIX Security Symposium	2022	Link
Label Inference Attacks Against Vertical Federated Learning.	USENIX Security Symposium	2022	Link
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models.	USENIX Security Symposium	2022	Link
Membership Inference Attacks and Defenses in Neural Network Pruning.	USENIX Security Symposium	2022	Link
Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture.	USENIX Security Symposium	2022	Link
Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice.	USENIX Security Symposium	2022	Link

2021

Title	Venue	Year	Link
Acoustics to the Rescue: Physical Key Inference Attack Revisited.	USENIX Security Symposium	2021	Link
Hermes Attack: Steal DNN Models with Lossless Inference Accuracy.	USENIX Security Symposium	2021	Link

2020

Title	Venue	Year	Link
Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference.	USENIX Security Symposium	2020	Link
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning.	USENIX Security Symposium	2020	Link

2018

Title	Venue	Year	Link
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning.	USENIX Security Symposium	2018	Link

2016

Title	Venue	Year	Link
You Are Who You Know and How You Behave: Attribute Inference Attacks via Users' Social Friends and Behaviors.	USENIX Security Symposium	2016	Link

2014

Title	Venue	Year	Link
Peeking into Your App without Actually Seeing It: UI State Inference and Novel Android Attacks.	USENIX Security Symposium	2014	Link

2011

Title	Venue	Year	Link
MACE: Model-inference-Assisted Concolic Exploration for Protocol and Vulnerability Discovery.	USENIX Security Symposium	2011	Link

WOOT

Expand WOOT

2008

Title	Venue	Year	Link
Experiences with Model Inference Assisted Fuzzing.	WOOT	2008	Link

ACM Multimedia

Expand ACM Multimedia

2025

Title	Venue	Year	Link
BOLT: Fewer Tokens but More Performance Retention for Efficient Vision-Language Models Inference.	ACM Multimedia	2025	Link
MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Static Quantization.	ACM Multimedia	2025	Link
Outlier-Aware Model Merging for Efficient Multitask Inference.	ACM Multimedia	2025	Link
Specify Privacy Yourself: Assessing Inference-Time Personalized Privacy Preservation Ability of Large Vision-Language Models.	ACM Multimedia	2025	Link
Towards Consumer-Grade Cybersickness Prediction: Multi-Model Alignment for Real-Time Vision-Only Inference.	ACM Multimedia	2025	Link

2024

Title	Venue	Year	Link
Unveiling Structural Memorization: Structural Membership Inference Attack for Text-to-Image Diffusion Models.	ACM Multimedia	2024	Link

2023

Title	Venue	Year	Link
Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference.	ACM Multimedia	2023	Link

2022

Title	Venue	Year	Link
Learning an Inference-accelerated Network from a Pre-trained Model with Frequency-enhanced Feature Distillation.	ACM Multimedia	2022	Link

2020

Title	Venue	Year	Link
Image Inpainting Based on Multi-frequency Probabilistic Inference Model.	ACM Multimedia	2020	Link

ALT

Expand ALT

2025

Title	Venue	Year	Link
A Model for Combinatorial Dictionary Learning and Inference.	ALT	2025	Link

2008

Title	Venue	Year	Link
Dynamic Modeling in Inductive Inference.	ALT	2008	Link

2004

Title	Venue	Year	Link
Approximate Inference in Probabilistic Models.	ALT	2004	Link

1990

Title	Venue	Year	Link
Model Inference of Constrained Recursive Figures.	ALT	1990	Link

EuroSys

Expand EuroSys

2025

Title	Venue	Year	Link
SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs.	EuroSys	2025	Link

2024

Title	Venue	Year	Link
GMorph: Accelerating Multi-DNN Inference via Model Fusion.	EuroSys	2024	Link
Model Selection for Latency-Critical Inference Serving.	EuroSys	2024	Link
Optimus: Warming Serverless ML Inference via Inter-Function Model Transformation.	EuroSys	2024	Link

2023

Title	Venue	Year	Link
Tabi: An Efficient Multi-Level Inference System for Large Language Models.	EuroSys	2023	Link

ICSE

Expand ICSE

2024

Title	Venue	Year	Link
When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference.	ICSE	2024	Link

2020

Title	Venue	Year	Link
Near-duplicate detection in web app model inference.	ICSE	2020	Link

2017

Title	Venue	Year	Link
Causal modeling, discovery & inference for software engineering.	ICSE	2017	Link

2010

Title	Venue	Year	Link
Using dynamic execution traces and program invariants to enhance behavioral model inference.	ICSE	2010	Link

ICSE Companion

Expand ICSE Companion

2024

Title	Venue	Year	Link
Towards Automatic Inference of Behavioral Component Models for ROS-Based Robotics Systems.	ICSE Companion	2024	Link

STOC

Expand STOC

2017

Title	Venue	Year	Link
Approximate counting, the Lovasz local lemma, and inference in graphical models.	STOC	2017	Link

CIKM

Expand CIKM

2025

Title	Venue	Year	Link
Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes.	CIKM	2025	Link
Membership Inference Attack Vulnerabilities of Record Linkage Models.	CIKM	2025	Link
Unplug and Play Language Models: Decomposing Experts in Language Models at Inference Time.	CIKM	2025	Link

2024

Title	Venue	Year	Link
A Spatio-Temporal Diffusion Model for Missing and Real-Time Financial Data Inference.	CIKM	2024	Link
Interaction-level Membership Inference Attack against Recommender Systems with Long-tailed Distribution.	CIKM	2024	Link

2023

Title	Venue	Year	Link
DiffUFlow: Robust Fine-grained Urban Flow Inference with Denoising Diffusion Model.	CIKM	2023	Link
Joint Link Prediction Via Inference from a Model.	CIKM	2023	Link
MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive Learning with Omics-Inference Modeling.	CIKM	2023	Link
Uplift Modeling: From Causal Inference to Personalization.	CIKM	2023	Link

2022

Title	Venue	Year	Link
An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models.	CIKM	2022	Link

2021

Title	Venue	Year	Link
Beamer: An End-to-End Deep Learning Framework for Unifying Data Cleaning in DNN Model Training and Inference.	CIKM	2021	Link

2020

Title	Venue	Year	Link
Shapley Values and Meta-Explanations for Probabilistic Graphical Model Inference.	CIKM	2020	Link

2010

Title	Venue	Year	Link
Learning click models via probit bayesian inference.	CIKM	2010	Link

USENIX ATC

Expand USENIX ATC

2025

Title	Venue	Year	Link
GeneralSparse: Bridging the Gap in SpMM for Pruned Large Language Model Inference on GPUs.	USENIX ATC	2025	Link
SAVE: Software-Implemented Fault Tolerance for Model Inference against GPU Memory Bit Flips.	USENIX ATC	2025	Link

2024

Title	Venue	Year	Link
Fast Inference for Probabilistic Graphical Models.	USENIX ATC	2024	Link
FwdLLM: Efficient Federated Finetuning of Large Language Models with Perturbed Inferences.	USENIX ATC	2024	Link

2021

Title	Venue	Year	Link
INFaaS: Automated Model-less Inference Serving.	USENIX ATC	2021	Link

2019

Title	Venue	Year	Link
Optimizing CNN Model Inference on CPUs.	USENIX ATC	2019	Link

Artif. Intell.

Expand Artif. Intell.

2022

Title	Venue	Year	Link
Overlapping communities and roles in networks with node attributes: Probabilistic graphical modeling, Bayesian formulation and variational inference.	Artif. Intell.	2022	Link

2021

Title	Venue	Year	Link
Properties and interrelationships of skeptical, weakly skeptical, and credulous inference induced by classes of minimal models.	Artif. Intell.	2021	Link

2008

Title	Venue	Year	Link
On probabilistic inference by weighted model counting.	Artif. Intell.	2008	Link

2006

Title	Venue	Year	Link
Sequential inference with reliable observations: Learning to construct force-dynamic models.	Artif. Intell.	2006	Link

2000

Title	Venue	Year	Link
On the complexity of inference about probabilistic relational models.	Artif. Intell.	2000	Link

Mach. Learn.

Expand Mach. Learn.

2025

Title	Venue	Year	Link
HFIA: a parasitic feature inference attack and gradient-based defense strategy in SplitNN-based vertical federated learning.	Mach. Learn.	2025	Link

2024

Title	Venue	Year	Link
Natural language inference model for customer advocacy detection in online customer engagement.	Mach. Learn.	2024	Link

2023

Title	Venue	Year	Link
Inference over radiative transfer models using variational and expectation maximization methods.	Mach. Learn.	2023	Link
MAP inference algorithms without approximation for collective graphical models on path graphs via discrete difference of convex algorithm.	Mach. Learn.	2023	Link
Partially Hidden Markov Chain Multivariate Linear Autoregressive model: inference and forecasting - application to machine health prognostics.	Mach. Learn.	2023	Link

2021

Title	Venue	Year	Link
Pseudo-marginal Bayesian inference for Gaussian process latent variable models.	Mach. Learn.	2021	Link

2020

Title	Venue	Year	Link
Model-based kernel sum rule: kernel Bayesian inference with probabilistic models.	Mach. Learn.	2020	Link

2017

Title	Venue	Year	Link
Improving probabilistic inference in graphical models with determinism and cycles.	Mach. Learn.	2017	Link

2015

Title	Venue	Year	Link
Operator-valued kernel-based vector autoregressive models for network inference.	Mach. Learn.	2015	Link

2013

Title	Venue	Year	Link
A comparative evaluation of stochastic-based inference methods for Gaussian process models.	Mach. Learn.	2013	Link

2012

Title	Venue	Year	Link
Optimal control as a graphical model inference problem.	Mach. Learn.	2012	Link

2011

Title	Venue	Year	Link
Creating non-minimal triangulations for use in inference in mixed stochastic/deterministic graphical models.	Mach. Learn.	2011	Link

2008

Title	Venue	Year	Link
A bias/variance decomposition for models using collective inference.	Mach. Learn.	2008	Link

J. Mach. Learn. Res.

Expand J. Mach. Learn. Res.

2024

Title	Venue	Year	Link
Additive smoothing error in backward variational inference for general state-space models.	J. Mach. Learn. Res.	2024	Link
DoWhy-GCM: An Extension of DoWhy for Causal Inference in Graphical Causal Models.	J. Mach. Learn. Res.	2024	Link

2023

Title	Venue	Year	Link
High-Dimensional Inference for Generalized Linear Models with Hidden Confounding.	J. Mach. Learn. Res.	2023	Link
Sparse Markov Models for High-dimensional Inference.	J. Mach. Learn. Res.	2023	Link
Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data.	J. Mach. Learn. Res.	2023	Link

2022

Title	Venue	Year	Link
Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models.	J. Mach. Learn. Res.	2022	Link
Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables.	J. Mach. Learn. Res.	2022	Link

2021

Title	Venue	Year	Link
Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach.	J. Mach. Learn. Res.	2021	Link
Inference In High-dimensional Single-Index Models Under Symmetric Designs.	J. Mach. Learn. Res.	2021	Link
Matrix Product States for Inference in Discrete Probabilistic Models.	J. Mach. Learn. Res.	2021	Link
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models.	J. Mach. Learn. Res.	2021	Link
Normalizing Flows for Probabilistic Modeling and Inference.	J. Mach. Learn. Res.	2021	Link
Simultaneous Change Point Inference and Structure Recovery for High Dimensional Gaussian Graphical Models.	J. Mach. Learn. Res.	2021	Link

2020

Title	Venue	Year	Link
High-Dimensional Inference for Cluster-Based Graphical Models.	J. Mach. Learn. Res.	2020	Link
Simultaneous Inference for Pairwise Graphical Models with Generalized Score Matching.	J. Mach. Learn. Res.	2020	Link
Switching Regression Models and Causal Inference in the Presence of Discrete Latent Variables.	J. Mach. Learn. Res.	2020	Link
Trust-Region Variational Inference with Gaussian Mixture Models.	J. Mach. Learn. Res.	2020	Link

2019

Title	Venue	Year	Link
Generic Inference in Latent Gaussian Process Models.	J. Mach. Learn. Res.	2019	Link

2018

Title	Venue	Year	Link
A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference.	J. Mach. Learn. Res.	2018	Link

2017

Title	Venue	Year	Link
A Spectral Algorithm for Inference in Hidden semi-Markov Models.	J. Mach. Learn. Res.	2017	Link
Minimax Filter: Learning to Preserve Privacy from Inference Attacks.	J. Mach. Learn. Res.	2017	Link
Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling.	J. Mach. Learn. Res.	2017	Link
Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models.	J. Mach. Learn. Res.	2017	Link
Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models.	J. Mach. Learn. Res.	2017	Link
Statistical Inference with Unnormalized Discrete Models and Localized Homogeneous Divergences.	J. Mach. Learn. Res.	2017	Link

2016

Title	Venue	Year	Link
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models.	J. Mach. Learn. Res.	2016	Link
Complexity of Representation and Inference in Compositional Models with Part Sharing.	J. Mach. Learn. Res.	2016	Link
Exact Inference on Gaussian Graphical Models of Arbitrary Topology using Path-Sums.	J. Mach. Learn. Res.	2016	Link

2015

Title	Venue	Year	Link
AD3: alternating directions dual decomposition for MAP inference in graphical models.	J. Mach. Learn. Res.	2015	Link

2014

Title	Venue	Year	Link
Bridging Viterbi and posterior decoding: a generalized risk approach to hidden path inference based on hidden Markov models.	J. Mach. Learn. Res.	2014	Link
Efficient state-space inference of periodic latent force models.	J. Mach. Learn. Res.	2014	Link

2013

Title	Venue	Year	Link
Perturbative corrections for approximate inference in Gaussian latent variable models.	J. Mach. Learn. Res.	2013	Link
Variational inference in nonconjugate models.	J. Mach. Learn. Res.	2013	Link

2012

Title	Venue	Year	Link
glm-ie: Generalised Linear Models Inference & Estimation Toolbox.	J. Mach. Learn. Res.	2012	Link

2011

Title	Venue	Year	Link
Adaptive Exact Inference in Graphical Models.	J. Mach. Learn. Res.	2011	Link
Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs.	J. Mach. Learn. Res.	2011	Link

2010

Title	Venue	Year	Link
libDAI: A Free and Open Source C++ Library for Discrete Approximate Inference in Graphical Models.	J. Mach. Learn. Res.	2010	Link

2009

Title	Venue	Year	Link
Perturbation Corrections in Approximate Inference: Mixture Modelling Applications.	J. Mach. Learn. Res.	2009	Link

2008

Title	Venue	Year	Link
Bayesian Inference and Optimal Design for the Sparse Linear Model.	J. Mach. Learn. Res.	2008	Link
Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models.	J. Mach. Learn. Res.	2008	Link

2006

Title	Venue	Year	Link
Linear Programs for Hypotheses Selection in Probabilistic Inference Models.	J. Mach. Learn. Res.	2006	Link

IEEE Trans. Pattern Anal. Mach. Intell.

Expand IEEE Trans. Pattern Anal. Mach. Intell.

2025

Title	Venue	Year	Link
Dynamic Inference by Model Reduction.	IEEE Trans. Pattern Anal. Mach. Intell.	2025	Link

2023

Title	Venue	Year	Link
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models.	IEEE Trans. Pattern Anal. Mach. Intell.	2023	Link
MLink: Linking Black-Box Models From Multiple Domains for Collaborative Inference.	IEEE Trans. Pattern Anal. Mach. Intell.	2023	Link
REDRESS: Generating Compressed Models for Edge Inference Using Tsetlin Machines.	IEEE Trans. Pattern Anal. Mach. Intell.	2023	Link
Understanding the Constraints in Maximum Entropy Methods for Modeling and Inference.	IEEE Trans. Pattern Anal. Mach. Intell.	2023	Link

2021

Title	Venue	Year	Link
Deep Autoencoding Topic Model With Scalable Hybrid Bayesian Inference.	IEEE Trans. Pattern Anal. Mach. Intell.	2021	Link

2020

Title	Venue	Year	Link
Tensor Graphical Model: Non-Convex Optimization and Statistical Inference.	IEEE Trans. Pattern Anal. Mach. Intell.	2020	Link

2019

Title	Venue	Year	Link
Density-Preserving Hierarchical EM Algorithm: Simplifying Gaussian Mixture Models for Approximate Inference.	IEEE Trans. Pattern Anal. Mach. Intell.	2019	Link

2018

Title	Venue	Year	Link
Maximum Persistency via Iterative Relaxed Inference in Graphical Models.	IEEE Trans. Pattern Anal. Mach. Intell.	2018	Link
The Manhattan Frame Model - Manhattan World Inference in the Space of Surface Normals.	IEEE Trans. Pattern Anal. Mach. Intell.	2018	Link

2016

Title	Venue	Year	Link
Partial Optimality by Pruning for MAP-Inference with General Graphical Models.	IEEE Trans. Pattern Anal. Mach. Intell.	2016	Link
Variational Inference for Watson Mixture Model.	IEEE Trans. Pattern Anal. Mach. Intell.	2016	Link

2014

Title	Venue	Year	Link
Bayesian Estimation of the von-Mises Fisher Mixture Model with Variational Inference.	IEEE Trans. Pattern Anal. Mach. Intell.	2014	Link

2013

Title	Venue	Year	Link
Learning Graphical Model Parameters with Approximate Marginal Inference.	IEEE Trans. Pattern Anal. Mach. Intell.	2013	Link

2012

Title	Venue	Year	Link
Probabilistic Models for Inference about Identity.	IEEE Trans. Pattern Anal. Mach. Intell.	2012	Link

2011

Title	Venue	Year	Link
Bayesian Estimation of Beta Mixture Models with Variational Inference.	IEEE Trans. Pattern Anal. Mach. Intell.	2011	Link
Causal Inference on Discrete Data Using Additive Noise Models.	IEEE Trans. Pattern Anal. Mach. Intell.	2011	Link

2005

Title	Venue	Year	Link
A Comparison of Algorithms for Inference and Learning in Probabilistic Graphical Models.	IEEE Trans. Pattern Anal. Mach. Intell.	2005	Link

2004

Title	Venue	Year	Link
Uncertainty Modeling and Model Selection for Geometric Inference.	IEEE Trans. Pattern Anal. Mach. Intell.	2004	Link

IEEE Trans. Image Process.

Expand IEEE Trans. Image Process.

2021

Title	Venue	Year	Link
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference in Image Recognition.	IEEE Trans. Image Process.	2021	Link
Exploit Camera Raw Data for Video Super- Resolution via Hidden Markov Model Inference.	IEEE Trans. Image Process.	2021	Link

2020

Title	Venue	Year	Link
Model-Free Tracker for Multiple Objects Using Joint Appearance and Motion Inference.	IEEE Trans. Image Process.	2020	Link

2012

Title	Venue	Year	Link
Bayesian Inference of Models and Hyperparameters for Robust Optical-Flow Estimation.	IEEE Trans. Image Process.	2012	Link

2011

Title	Venue	Year	Link
Multiple Player Tracking in Sports Video: A Dual-Mode Two-Way Bayesian Inference Approach With Progressive Observation Modeling.	IEEE Trans. Image Process.	2011	Link

2009

Title	Venue	Year	Link
Bayesian Inference on Multiscale Models for Poisson Intensity Estimation: Applications to Photon-Limited Image Denoising.	IEEE Trans. Image Process.	2009	Link

2008

Title	Venue	Year	Link
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields.	IEEE Trans. Image Process.	2008	Link

2000

Title	Venue	Year	Link
Discrete Markov image modeling and inference on the quadtree.	IEEE Trans. Image Process.	2000	Link

IEEE Trans. Signal Process.

Expand IEEE Trans. Signal Process.

2025

Title	Venue	Year	Link
Successive Refinement in Large-Scale Computation: Expediting Model Inference Applications.	IEEE Trans. Signal Process.	2025	Link

2024

Title	Venue	Year	Link
Bayesian Inference for Non-Linear Forward Model by Using a VAE-Based Neural Network Structure.	IEEE Trans. Signal Process.	2024	Link
Distributed Inference With Variational Message Passing in Gaussian Graphical Models: Tradeoffs in Message Schedules and Convergence Conditions.	IEEE Trans. Signal Process.	2024	Link

2022

Title	Venue	Year	Link
Graphical Inference in Linear-Gaussian State-Space Models.	IEEE Trans. Signal Process.	2022	Link
Joint Network Topology Inference Via a Shared Graphon Model.	IEEE Trans. Signal Process.	2022	Link
Online Inference for Mixture Model of Streaming Graph Signals With Sparse Excitation.	IEEE Trans. Signal Process.	2022	Link

2021

Title	Venue	Year	Link
Approximate Inference and Learning of State Space Models With Laplace Noise.	IEEE Trans. Signal Process.	2021	Link
Online Joint State Inference and Learning of Partially Unknown State-Space Models.	IEEE Trans. Signal Process.	2021	Link
Random Matrix Based Extended Target Tracking With Orientation: A New Model and Inference.	IEEE Trans. Signal Process.	2021	Link
Temporal Parallelization of Inference in Hidden Markov Models.	IEEE Trans. Signal Process.	2021	Link

2020

Title	Venue	Year	Link
Learning Nonnegative Factors From Tensor Data: Probabilistic Modeling and Inference Algorithm.	IEEE Trans. Signal Process.	2020	Link
Tractable Inference and Observation Likelihood Evaluation in Latent Structure Influence Models.	IEEE Trans. Signal Process.	2020	Link

2018

Title	Venue	Year	Link
Experiments and Models for Decision Fusion by Humans in Inference Networks.	IEEE Trans. Signal Process.	2018	Link

2014

Title	Venue	Year	Link
Bayesian Group-Sparse Modeling and Variational Inference.	IEEE Trans. Signal Process.	2014	Link
Distributed Inference With M-Ary Quantized Data in the Presence of Byzantine Attacks.	IEEE Trans. Signal Process.	2014	Link

2012

Title	Venue	Year	Link
Approximate Inference in State-Space Models With Heavy-Tailed Noise.	IEEE Trans. Signal Process.	2012	Link
Feedback Message Passing for Inference in Gaussian Graphical Models.	IEEE Trans. Signal Process.	2012	Link
Finding Non-Overlapping Clusters for Generalized Inference Over Graphical Models.	IEEE Trans. Signal Process.	2012	Link

2011

Title	Venue	Year	Link
Bayesian Nonparametric Inference of Switching Dynamic Linear Models.	IEEE Trans. Signal Process.	2011	Link
Time Varying Dynamic Bayesian Network for Nonstationary Events Modeling and Online Inference.	IEEE Trans. Signal Process.	2011	Link

2009

Title	Venue	Year	Link
Variational Bayesian Inference for a Nonlinear Forward Model.	IEEE Trans. Signal Process.	2009	Link

2008

Title	Venue	Year	Link
Bayesian Inference for Linear Dynamic Models With Dirichlet Process Mixtures.	IEEE Trans. Signal Process.	2008	Link
Inference of Noisy Nonlinear Differential Equation Models for Gene Regulatory Networks Using Genetic Programming and Kalman Filtering.	IEEE Trans. Signal Process.	2008	Link

2003

Title	Venue	Year	Link
Unicast-based inference of network link delay distributions with finite mixture models.	IEEE Trans. Signal Process.	2003	Link

IEEE Trans. Neural Networks Learn. Syst.

Expand IEEE Trans. Neural Networks Learn. Syst.

2024

Title	Venue	Year	Link
Bayesian Estimation of Inverted Beta Mixture Models With Extended Stochastic Variational Inference for Positive Vector Classification.	IEEE Trans. Neural Networks Learn. Syst.	2024	Link
Neural Inference Search for Multiloss Segmentation Models.	IEEE Trans. Neural Networks Learn. Syst.	2024	Link

2023

Title	Venue	Year	Link
An Empirical Study on Adaptive Inference for Pretrained Language Model.	IEEE Trans. Neural Networks Learn. Syst.	2023	Link

2022

Title	Venue	Year	Link
A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multioutput Gaussian Process Model.	IEEE Trans. Neural Networks Learn. Syst.	2022	Link
Two-Stage Bayesian Optimization for Scalable Inference in State-Space Models.	IEEE Trans. Neural Networks Learn. Syst.	2022	Link

2020

Title	Venue	Year	Link
Deep Model Compression and Inference Speedup of Sum-Product Networks on Tensor Trains.	IEEE Trans. Neural Networks Learn. Syst.	2020	Link
Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling.	IEEE Trans. Neural Networks Learn. Syst.	2020	Link
The Cubic Dynamic Uncertain Causality Graph: A Methodology for Temporal Process Modeling and Diagnostic Logic Inference.	IEEE Trans. Neural Networks Learn. Syst.	2020	Link

2019

Title	Venue	Year	Link
Fast Inference Predictive Coding: A Novel Model for Constructing Deep Neural Networks.	IEEE Trans. Neural Networks Learn. Syst.	2019	Link
Guest Editorial Special Issue on Discriminative Learning for Model Optimization and Statistical Inference.	IEEE Trans. Neural Networks Learn. Syst.	2019	Link

2015

Title	Venue	Year	Link
Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data.	IEEE Trans. Neural Networks Learn. Syst.	2015	Link

IEEE Trans. Neural Networks

Expand IEEE Trans. Neural Networks

2001

Title	Venue	Year	Link
Statistical inference, the bootstrap, and neural-network modeling with application to foreign exchange rates.	IEEE Trans. Neural Networks	2001	Link

IEEE Trans. Artif. Intell.

Expand IEEE Trans. Artif. Intell.

2025

Title	Venue	Year	Link
A Membership Inference and Adversarial Attack Defense Framework for Network Traffic Classifiers.	IEEE Trans. Artif. Intell.	2025	Link
Deep Reinforcement Learning Data Collection for Bayesian Inference of Hidden Markov Models.	IEEE Trans. Artif. Intell.	2025	Link
Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive Survey.	IEEE Trans. Artif. Intell.	2025	Link
meMIA: Multilevel Ensemble Membership Inference Attack.	IEEE Trans. Artif. Intell.	2025	Link

2024

Title	Venue	Year	Link
Optimal Inference of Hidden Markov Models Through Expert-Acquired Data.	IEEE Trans. Artif. Intell.	2024	Link
Securing User Privacy in Cloud-Based Whiteboard Services Against Health Attribute Inference Attacks.	IEEE Trans. Artif. Intell.	2024	Link

2023

Title	Venue	Year	Link
Scaling the Inference of Digital Pathology Deep Learning Models Using CPU-Based High-Performance Computing.	IEEE Trans. Artif. Intell.	2023	Link

IEEE Trans. Knowl. Data Eng.

Expand IEEE Trans. Knowl. Data Eng.

2025

Title	Venue	Year	Link
Camouflaged Variational Graph AutoEncoder Against Attribute Inference Attacks for Cross-Domain Recommendation.	IEEE Trans. Knowl. Data Eng.	2025	Link
Large Language Models Meet Causal Inference: Semantic-Rich Dual Propensity Score for Sequential Recommendation.	IEEE Trans. Knowl. Data Eng.	2025	Link

2024

Title	Venue	Year	Link
Comprehensive Privacy Analysis on Federated Recommender System Against Attribute Inference Attacks.	IEEE Trans. Knowl. Data Eng.	2024	Link

2022

Title	Venue	Year	Link
Deterministic Inference of Topic Models via Maximal Latent State Replication.	IEEE Trans. Knowl. Data Eng.	2022	Link

2021

Title	Venue	Year	Link
Multi-Label Truth Inference for Crowdsourcing Using Mixture Models.	IEEE Trans. Knowl. Data Eng.	2021	Link

2014

Title	Venue	Year	Link
Multi-Aspect + Transitivity + Bias: An Integral Trust Inference Model.	IEEE Trans. Knowl. Data Eng.	2014	Link

2013

Title	Venue	Year	Link
Preventing Private Information Inference Attacks on Social Networks.	IEEE Trans. Knowl. Data Eng.	2013	Link

2008

Title	Venue	Year	Link
Quantitative Inference by Qualitative Semantic Knowledge Mining with Bayesian Model Averaging.	IEEE Trans. Knowl. Data Eng.	2008	Link

1993

Title	Venue	Year	Link
Logical Inference of Horn Clauses in Petri Net Models.	IEEE Trans. Knowl. Data Eng.	1993	Link

IEEE Trans. Big Data

Expand IEEE Trans. Big Data

2025

Title	Venue	Year	Link
MemDefense: Defending Against Membership Inference Attacks in IoT-Based Federated Learning via Pruning Perturbations.	IEEE Trans. Big Data	2025	Link
Topology-Based Node-Level Membership Inference Attacks on Graph Neural Networks.	IEEE Trans. Big Data	2025	Link

2024

Title	Venue	Year	Link
Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning.	IEEE Trans. Big Data	2024	Link

2019

Title	Venue	Year	Link
Non-Stationary Model for Crime Rate Inference Using Modern Urban Data.	IEEE Trans. Big Data	2019	Link

IEEE Trans. Cybern.

Expand IEEE Trans. Cybern.

2023

Title	Venue	Year	Link
Bayesian Inference for State-Space Models With Student-t Mixture Distributions.	IEEE Trans. Cybern.	2023	Link

2022

Title	Venue	Year	Link
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation.	IEEE Trans. Cybern.	2022	Link

2020

Title	Venue	Year	Link
Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All.	IEEE Trans. Cybern.	2020	Link

2016

Title	Venue	Year	Link
Inference With Collaborative Model for Interactive Tumor Segmentation in Medical Image Sequences.	IEEE Trans. Cybern.	2016	Link

IEEE Trans. Syst. Man Cybern. Part B

Expand IEEE Trans. Syst. Man Cybern. Part B

2011

Title	Venue	Year	Link
Cerebellarlike Corrective Model Inference Engine for Manipulation Tasks.	IEEE Trans. Syst. Man Cybern. Part B	2011	Link

1998

Title	Venue	Year	Link
A parallel fuzzy inference model with distributed prediction scheme for reinforcement learning.	IEEE Trans. Syst. Man Cybern. Part B	1998	Link

1996

Title	Venue	Year	Link
Fuzzy Inference Neural Network for Fuzzy Model Tuning.	IEEE Trans. Syst. Man Cybern. Part B	1996	Link
Fuzzy inference neural network for fuzzy model tuning.	IEEE Trans. Syst. Man Cybern. Part B	1996	Link

IEEE Trans. Medical Imaging

Expand IEEE Trans. Medical Imaging

2024

Title	Venue	Year	Link
Toward Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference.	IEEE Trans. Medical Imaging	2024	Link

2019

Title	Venue	Year	Link
Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference.	IEEE Trans. Medical Imaging	2019	Link

2015

Title	Venue	Year	Link
A Unified Sparse Recovery and Inference Framework for Functional Diffuse Optical Tomography Using Random Effect Model.	IEEE Trans. Medical Imaging	2015	Link

2006

Title	Venue	Year	Link
Variational bayes inference of spatial mixture models for segmentation.	IEEE Trans. Medical Imaging	2006	Link

2004

Title	Venue	Year	Link
Estimation of the hemodynamic response in event-related functional MRI: Bayesian networks as a framework for efficient Bayesian modeling and inference.	IEEE Trans. Medical Imaging	2004	Link

IEEE Trans. Syst. Man Cybern.

Expand IEEE Trans. Syst. Man Cybern.

1993

Title	Venue	Year	Link
Human cognition and the expert system interface: mental models and inference explanations.	IEEE Trans. Syst. Man Cybern.	1993	Link

1987

Title	Venue	Year	Link
A Probabilistic Causal Model for Diagnostic Problem Solving Part I: Integrating Symbolic Causal Inference with Numeric Probabilistic Inference.	IEEE Trans. Syst. Man Cybern.	1987	Link

IEEE Trans. Syst. Man Cybern. Syst.

Expand IEEE Trans. Syst. Man Cybern. Syst.

2025

Title	Venue	Year	Link
A Variational Bayesian Inference-Based Robust Dissimilarity Analytics Model for Industrial Fault Detection.	IEEE Trans. Syst. Man Cybern. Syst.	2025	Link

2024

Title	Venue	Year	Link
Interactive Inference: A Multi-Agent Model of Cooperative Joint Actions.	IEEE Trans. Syst. Man Cybern. Syst.	2024	Link

2016

Title	Venue	Year	Link
Probabilistic Inference-Based Least Squares Support Vector Machine for Modeling Under Noisy Environment.	IEEE Trans. Syst. Man Cybern. Syst.	2016	Link

IEEE Trans. Syst. Man Cybern. Part A

Expand IEEE Trans. Syst. Man Cybern. Part A

2005

Title	Venue	Year	Link
Modeling and Inference of Extended Interval Temporal Logic for Nondeterministic Intervals.	IEEE Trans. Syst. Man Cybern. Part A	2005	Link

IEEE Trans. Emerg. Top. Comput. Intell.

Expand IEEE Trans. Emerg. Top. Comput. Intell.

2025

Title	Venue	Year	Link
Bayesian Inference of Hidden Markov Models Through Probabilistic Boolean Operations in Spiking Neuronal Networks.	IEEE Trans. Emerg. Top. Comput. Intell.	2025	Link
Privacy-Enhanced Federated GNN Inference Against Adversarial Example Attack.	IEEE Trans. Emerg. Top. Comput. Intell.	2025	Link

2024

Title	Venue	Year	Link
RACFIS: A New Rapid Adaptive Complex Fuzzy Inference System for Regression Modelling.	IEEE Trans. Emerg. Top. Comput. Intell.	2024	Link
Scalable Heterogeneous Scheduling Based Model Parallelism for Real-Time Inference of Large-Scale Deep Neural Networks.	IEEE Trans. Emerg. Top. Comput. Intell.	2024	Link

IEEE Trans. Intell. Transp. Syst.

Expand IEEE Trans. Intell. Transp. Syst.

2025

Title	Venue	Year	Link
Dual-Control Inference Diffusion Model via Multi-Sensor High-Frequency Signal for Space Transportation Engine Anomaly Detection.	IEEE Trans. Intell. Transp. Syst.	2025	Link
Learning an Active Inference Model of Driver Perception and Control: Application to Vehicle Car-Following.	IEEE Trans. Intell. Transp. Syst.	2025	Link

2024

Title	Venue	Year	Link
Dynamic Recursive Logit Model for Vehicle Driving Route Choices and Path Inference With Incomplete Fixed Location Sensor Data.	IEEE Trans. Intell. Transp. Syst.	2024	Link
Share-Aware Joint Model Deployment and Task Offloading for Multi-Task Inference.	IEEE Trans. Intell. Transp. Syst.	2024	Link

2023

Title	Venue	Year	Link
A Demand Truncation and Migration Poisson Model for Real Demand Inference in Free-Floating Bike-Sharing System.	IEEE Trans. Intell. Transp. Syst.	2023	Link

2022

Title	Venue	Year	Link
Differentially Private Tripartite Intelligent Matching Against Inference Attacks in Ride-Sharing Services.	IEEE Trans. Intell. Transp. Syst.	2022	Link
Modeling Driver Responses to Automation Failures With Active Inference.	IEEE Trans. Intell. Transp. Syst.	2022	Link

2014

Title	Venue	Year	Link
The Path Inference Filter: Model-Based Low-Latency Map Matching of Probe Vehicle Data.	IEEE Trans. Intell. Transp. Syst.	2014	Link

IEEE Trans. Inf. Forensics Secur.

Expand IEEE Trans. Inf. Forensics Secur.

2026

Title	Venue	Year	Link
Practical Secure Inference Algorithm for a Fine-Tuned Large Language Model Based on Fully Homomorphic Encryption.	IEEE Trans. Inf. Forensics Secur.	2026	Link

2025

Title	Venue	Year	Link
A Security Mechanism Against Inference Attacks on Networked Systems.	IEEE Trans. Inf. Forensics Secur.	2025	Link
Attackers Are Not the Same! Unveiling the Impact of Feature Distribution on Label Inference Attacks.	IEEE Trans. Inf. Forensics Secur.	2025	Link
Comparing Different Membership Inference Attacks With a Comprehensive Benchmark.	IEEE Trans. Inf. Forensics Secur.	2025	Link
Falcon: A Universal Text-Only Membership Inference Attack Framework Against In-Context Learning.	IEEE Trans. Inf. Forensics Secur.	2025	Link
GLiRA: Closed-Box Membership Inference Attack via Knowledge Distillation.	IEEE Trans. Inf. Forensics Secur.	2025	Link
Learning-Based Privacy-Preserving Graph Publishing Against Sensitive Link Inference Attacks.	IEEE Trans. Inf. Forensics Secur.	2025	Link
On the Impact of Uncertainty and Calibration on Likelihood-Ratio Membership Inference Attacks.	IEEE Trans. Inf. Forensics Secur.	2025	Link
ProVFL: Property Inference Attacks Against Vertical Federated Learning.	IEEE Trans. Inf. Forensics Secur.	2025	Link
Unlocking Generative Priors: A New Membership Inference Framework for Diffusion Models.	IEEE Trans. Inf. Forensics Secur.	2025	Link

2024

Title	Venue	Year	Link
ASIA: A Federated Boosting Tree Model Against Sequence Inference Attacks in Financial Networks.	IEEE Trans. Inf. Forensics Secur.	2024	Link
Defending Against Membership Inference Attack for Counterfactual Federated Recommendation With Differentially Private Representation Learning.	IEEE Trans. Inf. Forensics Secur.	2024	Link
Gradient-Leaks: Enabling Black-Box Membership Inference Attacks Against Machine Learning Models.	IEEE Trans. Inf. Forensics Secur.	2024	Link
Preserving Privacy in GANs Against Membership Inference Attack.	IEEE Trans. Inf. Forensics Secur.	2024	Link
RFTrack: Stealthy Location Inference and Tracking Attack on Wi-Fi Devices.	IEEE Trans. Inf. Forensics Secur.	2024	Link
Rethinking Membership Inference Attacks Against Transfer Learning.	IEEE Trans. Inf. Forensics Secur.	2024	Link
Similarity-Based Label Inference Attack Against Training and Inference of Split Learning.	IEEE Trans. Inf. Forensics Secur.	2024	Link

2023

Title	Venue	Year	Link
Categorical Inference Poisoning: Verifiable Defense Against Black-Box DNN Model Stealing Without Constraining Surrogate Data and Query Times.	IEEE Trans. Inf. Forensics Secur.	2023	Link
Subject-Level Membership Inference Attack via Data Augmentation and Model Discrepancy.	IEEE Trans. Inf. Forensics Secur.	2023	Link
TEAR: Exploring Temporal Evolution of Adversarial Robustness for Membership Inference Attacks Against Federated Learning.	IEEE Trans. Inf. Forensics Secur.	2023	Link

2022

Title	Venue	Year	Link
A Randomized Filtering Strategy Against Inference Attacks on Active Steering Control Systems.	IEEE Trans. Inf. Forensics Secur.	2022	Link
One Parameter Defense - Defending Against Data Inference Attacks via Differential Privacy.	IEEE Trans. Inf. Forensics Secur.	2022	Link

2019

Title	Venue	Year	Link
Sensor-Based Mobile Web Cross-Site Input Inference Attacks and Defenses.	IEEE Trans. Inf. Forensics Secur.	2019	Link

ACM Trans. Inf. Syst. Secur.

Expand ACM Trans. Inf. Syst. Secur.

2005

Title	Venue	Year	Link
Incentive-based modeling and inference of attacker intent, objectives, and strategies.	ACM Trans. Inf. Syst. Secur.	2005	Link
Modeling and assessing inference exposure in encrypted databases.	ACM Trans. Inf. Syst. Secur.	2005	Link

ACM Trans. Intell. Syst. Technol.

Expand ACM Trans. Intell. Syst. Technol.

2023

Title	Venue	Year	Link
Neural Topic Modeling via Discrete Variational Inference.	ACM Trans. Intell. Syst. Technol.	2023	Link

2022

Title	Venue	Year	Link
Efficient Federated Matrix Factorization Against Inference Attacks.	ACM Trans. Intell. Syst. Technol.	2022	Link

2020

Title	Venue	Year	Link
A Causal Dirichlet Mixture Model for Causal Inference from Observational Data.	ACM Trans. Intell. Syst. Technol.	2020	Link

2013

Title	Venue	Year	Link
An inference-based model of word meaning in context as a paraphrase distribution.	ACM Trans. Intell. Syst. Technol.	2013	Link

IEEE J. Biomed. Health Informatics

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2025

Title	Venue	Year	Link
Investigating Membership Inference Attacks Against CNN Models for BCI Systems.	IEEE J. Biomed. Health Informatics	2025	Link
mDARTS: Searching ML-Based ECG Classifiers Against Membership Inference Attacks.	IEEE J. Biomed. Health Informatics	2025	Link

2023

Title	Venue	Year	Link
Reproduction Factor Based Latent Epidemic Model Inference: A Data-Driven Approach Using COVID-19 Datasets.	IEEE J. Biomed. Health Informatics	2023	Link

2022

Title	Venue	Year	Link
A Connection Between Pattern Classification by Machine Learning and Statistical Inference With the General Linear Model.	IEEE J. Biomed. Health Informatics	2022	Link

2021

Title	Venue	Year	Link
Blood Pressure States Transition Inference Based on Multi-State Markov Model.	IEEE J. Biomed. Health Informatics	2021	Link

2020

Title	Venue	Year	Link
3D Shape-Based Body Composition Inference Model Using a Bayesian Network.	IEEE J. Biomed. Health Informatics	2020	Link

2018

Title	Venue	Year	Link
A Trust Model for Ubiquitous Healthcare Environment on the Basis of Adaptable Fuzzy-Probabilistic Inference System.	IEEE J. Biomed. Health Informatics	2018	Link

IEEE Trans. Inf. Technol. Biomed.

Expand IEEE Trans. Inf. Technol. Biomed.

2008

Title	Venue	Year	Link
A 3-D Active Shape Model Driven by Fuzzy Inference: Application to Cardiac CT and MR.	IEEE Trans. Inf. Technol. Biomed.	2008	Link

ACM Trans. Knowl. Discov. Data

Expand ACM Trans. Knowl. Discov. Data

2025

Title	Venue	Year	Link
DisambiguART: A Neural-based Inference Model for Knowledge Graph Disambiguation.	ACM Trans. Knowl. Discov. Data	2025	Link
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning.	ACM Trans. Knowl. Discov. Data	2025	Link

2021

Title	Venue	Year	Link
Understanding Persuasion Cascades in Online Product Rating Systems: Modeling, Analysis, and Inference.	ACM Trans. Knowl. Discov. Data	2021	Link

2010

Title	Venue	Year	Link
Bayesian Browsing Model: Exact Inference of Document Relevance from Petabyte-Scale Data.	ACM Trans. Knowl. Discov. Data	2010	Link

Int. J. Comput. Vis.

Expand Int. J. Comput. Vis.

2024

Title	Venue	Year	Link
Re-ID-leak: Membership Inference Attacks Against Person Re-identification.	Int. J. Comput. Vis.	2024	Link

2022

Title	Venue	Year	Link
Interpreting Face Inference Models Using Hierarchical Network Dissection.	Int. J. Comput. Vis.	2022	Link

2012

Title	Venue	Year	Link
On Learning Conditional Random Fields for Stereo - Exploring Model Structures and Approximate Inference.	Int. J. Comput. Vis.	2012	Link

2011

Title	Venue	Year	Link
Inference and Learning with Hierarchical Shape Models.	Int. J. Comput. Vis.	2011	Link

Comput. Vis. Image Underst.

Expand Comput. Vis. Image Underst.

2024

Title	Venue	Year	Link
Spatial attention inference model for cascaded siamese tracking with dynamic residual update strategy.	Comput. Vis. Image Underst.	2024	Link

2016

Title	Venue	Year	Link
Inference and Learning of Graphical Models: Theory and Applications in Computer Vision and Image Analysis.	Comput. Vis. Image Underst.	2016	Link
Localizing scene texts by fuzzy inference systems and low rank matrix recovery model.	Comput. Vis. Image Underst.	2016	Link

2015

Title	Venue	Year	Link
The informed sampler: A discriminative approach to Bayesian inference in generative computer vision models.	Comput. Vis. Image Underst.	2015	Link

2014

Title	Venue	Year	Link
Estimating scene flow using an interconnected patch surface model with belief-propagation inference.	Comput. Vis. Image Underst.	2014	Link

2013

Title	Venue	Year	Link
Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey.	Comput. Vis. Image Underst.	2013	Link

Proc. VLDB Endow.

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2024

Title	Venue	Year	Link
Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines.	Proc. VLDB Endow.	2024	Link

2023

Title	Venue	Year	Link
Flash-LLM: Enabling Low-Cost and Highly-Efficient Large Generative Model Inference With Unstructured Sparsity.	Proc. VLDB Endow.	2023	Link

2022

Title	Venue	Year	Link
Demonstration of Accelerating Machine Learning Inference Queries with Correlative Proxy Models.	Proc. VLDB Endow.	2022	Link
Optimizing Machine Learning Inference Queries with Correlative Proxy Models.	Proc. VLDB Endow.	2022	Link

2019

Title	Venue	Year	Link
Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints.	Proc. VLDB Endow.	2019	Link

2013

Title	Venue	Year	Link
Travel Cost Inference from Sparse, Spatio-Temporally Correlated Time Series Using Markov Models.	Proc. VLDB Endow.	2013	Link

IEEE Trans. Parallel Distributed Syst.

Expand IEEE Trans. Parallel Distributed Syst.

2025

Title	Venue	Year	Link
Decentralized QoS-Aware Model Inference Using Federated Split Learning for Cloud-Edge Medical Detection.	IEEE Trans. Parallel Distributed Syst.	2025	Link

2024

Title	Venue	Year	Link
Efficient Inference for Pruned CNN Models on Mobile Devices With Holistic Sparsity Alignment.	IEEE Trans. Parallel Distributed Syst.	2024	Link

2023

Title	Venue	Year	Link
Accelerating Deep Learning Inference via Model Parallelism and Partial Computation Offloading.	IEEE Trans. Parallel Distributed Syst.	2023	Link

2022

Title	Venue	Year	Link
CNNPC: End-Edge-Cloud Collaborative CNN Inference With Joint Model Partition and Compression.	IEEE Trans. Parallel Distributed Syst.	2022	Link
Secure Deep Neural Network Models Publishing Against Membership Inference Attacks Via Training Task Parallelism.	IEEE Trans. Parallel Distributed Syst.	2022	Link

2021

Title	Venue	Year	Link
Model Parallelism Optimization for Distributed Inference Via Decoupled CNN Structure.	IEEE Trans. Parallel Distributed Syst.	2021	Link

2019

Title	Venue	Year	Link
An Empirical Study on Distributed Bayesian Approximation Inference of Piecewise Sparse Linear Models.	IEEE Trans. Parallel Distributed Syst.	2019	Link

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Expand IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

2026

Title	Venue	Year	Link
Paddle Lite on Zephyr: Deploying AI Models in RTOS for Inference Acceleration.	IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.	2026	Link

2024

Title	Venue	Year	Link
Ace-Sniper: Cloud-Edge Collaborative Scheduling Framework With DNN Inference Latency Modeling on Heterogeneous Devices.	IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.	2024	Link
An Automatic Neural Network Architecture-and-Quantization Joint Optimization Framework for Efficient Model Inference.	IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.	2024	Link

2023

Title	Venue	Year	Link
EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAI.	IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.	2023	Link
TRIM: A Design Space Exploration Model for Deep Neural Networks Inference and Training Accelerators.	IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.	2023	Link

2020

Title	Venue	Year	Link
Performance Modeling for CNN Inference Accelerators on FPGA.	IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.	2020	Link

2016

Title	Venue	Year	Link
Compact Model Parameter Extraction Using Bayesian Inference, Incomplete New Measurements, and Optimal Bias Selection.	IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.	2016	Link

IEEE Trans. Computers

Expand IEEE Trans. Computers

2022

Title	Venue	Year	Link
Enabling Homomorphically Encrypted Inference for Large DNN Models.	IEEE Trans. Computers	2022	Link

Nat. Mach. Intell.

Expand Nat. Mach. Intell.

2020

Title	Venue	Year	Link
Quantum approximate Bayesian computation for NMR model inference.	Nat. Mach. Intell.	2020	Link

Found. Trends Mach. Learn.

Expand Found. Trends Mach. Learn.

2008

Title	Venue	Year	Link
Graphical Models, Exponential Families, and Variational Inference.	Found. Trends Mach. Learn.	2008	Link

Pattern Recognit.

Expand Pattern Recognit.

2020

Title	Venue	Year	Link
AutoPruner: An end-to-end trainable filter pruning method for efficient deep model inference.	Pattern Recognit.	2020	Link

2014

Title	Venue	Year	Link
Bayesian estimation of Dirichlet mixture model with variational inference.	Pattern Recognit.	2014	Link

Pattern Recognit. Lett.

Expand Pattern Recognit. Lett.

2025

Title	Venue	Year	Link
Inference Calibration of Vision-Language Foundation Models for Zero-Shot and Few-Shot Learning.	Pattern Recognit. Lett.	2025	Link
Integrating large language models with explainable fuzzy inference systems for trusty steel defect detection.	Pattern Recognit. Lett.	2025	Link
Synthetic image learning: Preserving performance and preventing Membership Inference Attacks.	Pattern Recognit. Lett.	2025	Link

2024

Title	Venue	Year	Link
Abductive natural language inference by interactive model with structural loss.	Pattern Recognit. Lett.	2024	Link

2020

Title	Venue	Year	Link
An exact algorithm for time-dependent variational inference for the dynamic stochastic block model.	Pattern Recognit. Lett.	2020	Link

2019

Title	Venue	Year	Link
Structural network inference from time-series data using a generative model and transfer entropy.	Pattern Recognit. Lett.	2019	Link

2009

Title	Venue	Year	Link
Zero knowledge hidden Markov model inference.	Pattern Recognit. Lett.	2009	Link

1988

Title	Venue	Year	Link
Modelling uncertainty in ESATS by classification inference: An expert system for the analysis of thallium-201 scintigrams.	Pattern Recognit. Lett.	1988	Link

Medical Image Anal.

Expand Medical Image Anal.

2022

Title	Venue	Year	Link
Bayesian logistic shape model inference: Application to cochlear image segmentation.	Medical Image Anal.	2022	Link
Mixed-dictionary models and variational inference in task fMRI for shorter scans and better image quality.	Medical Image Anal.	2022	Link

2011

Title	Venue	Year	Link
Automatic inference of articulated spine models in CT images using high-order Markov Random Fields.	Medical Image Anal.	2011	Link

Comput. Medical Imaging Graph.

Expand Comput. Medical Imaging Graph.

2025

Title	Venue	Year	Link
Inference time correction based on confidence and uncertainty for improved deep-learning model performance and explainability in medical image classification.	Comput. Medical Imaging Graph.	2025	Link

Data Min. Knowl. Discov.

Expand Data Min. Knowl. Discov.

2019

Title	Venue	Year	Link
Model-free inference of diffusion networks using RKHS embeddings.	Data Min. Knowl. Discov.	2019	Link

2016

Title	Venue	Year	Link
Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models.	Data Min. Knowl. Discov.	2016	Link

Knowl. Based Syst.

Expand Knowl. Based Syst.

2026

Title	Venue	Year	Link
Accelerating long-context inference of large language models via dynamic attention load balancing.	Knowl. Based Syst.	2026	Link

2025

Title	Venue	Year	Link
Large language model based system with causal inference and Chain-of-Thoughts reasoning for traffic scene risk assessment.	Knowl. Based Syst.	2025	Link
PmiaNLL: Defending against poisoning membership inference attacks with noisy label learning.	Knowl. Based Syst.	2025	Link
Semantic knowledge abstraction: Consistent reasoning in large language models for natural language inference.	Knowl. Based Syst.	2025	Link
Stand-in Model Protection: Synthetic defense for membership inference and model inversion attacks.	Knowl. Based Syst.	2025	Link
Synthetic data for enhanced privacy: A VAE-GAN approach against membership inference attacks.	Knowl. Based Syst.	2025	Link

2024

Title	Venue	Year	Link
Topology modification against membership inference attack in Graph Neural Networks.	Knowl. Based Syst.	2024	Link

2023

Title	Venue	Year	Link
Understanding and defending against White-box membership inference attack in deep learning.	Knowl. Based Syst.	2023	Link

2022

Title	Venue	Year	Link
A novel hybrid model combining a fuzzy inference system and a deep learning method for short-term traffic flow prediction.	Knowl. Based Syst.	2022	Link
Enhancing pretrained language models with structured commonsense knowledge for textual inference.	Knowl. Based Syst.	2022	Link
Highly explainable cumulative belief rule-based system with effective rule-base modeling and inference scheme.	Knowl. Based Syst.	2022	Link
Sliding window change point detection based dynamic network model inference framework for airport ground service process.	Knowl. Based Syst.	2022	Link

2021

Title	Venue	Year	Link
Causal neural fuzzy inference modeling of missing data in implicit recommendation system.	Knowl. Based Syst.	2021	Link
Towards link inference attack against network structure perturbation.	Knowl. Based Syst.	2021	Link

2020

Title	Venue	Year	Link
Deep generative models for reject inference in credit scoring.	Knowl. Based Syst.	2020	Link

2019

Title	Venue	Year	Link
A fuzzy inference system modeling approach for interval-valued symbolic data forecasting.	Knowl. Based Syst.	2019	Link
Gradient-enhanced high dimensional model representation via Bayesian inference.	Knowl. Based Syst.	2019	Link

2017

Title	Venue	Year	Link
Learning and inference in knowledge-based probabilistic model for medical diagnosis.	Knowl. Based Syst.	2017	Link

2016

Title	Venue	Year	Link
A survey of trust management systems for online social communities - Trust modeling, trust inference and attacks.	Knowl. Based Syst.	2016	Link

2015

Title	Venue	Year	Link
A data-driven approximate causal inference model using the evidential reasoning rule.	Knowl. Based Syst.	2015	Link
Model identification and Q-matrix incremental inference in cognitive diagnosis.	Knowl. Based Syst.	2015	Link

2013

Title	Venue	Year	Link
An efficient adaptive fuzzy inference system for complex and high dimensional regression problems in linguistic fuzzy modelling.	Knowl. Based Syst.	2013	Link

1994

Title	Venue	Year	Link
Diagnostic expert system inference engine based on the certainty factors model.	Knowl. Based Syst.	1994	Link

1988

Title	Venue	Year	Link
General purpose inference engine for canonical graph models.	Knowl. Based Syst.	1988	Link

Inf. Sci.

Expand Inf. Sci.

2024

Title	Venue	Year	Link
A broad-deep fusion network-based fuzzy emotional intention inference model for teaching validity evaluation.	Inf. Sci.	2024	Link
Defending against membership inference attacks: RM Learning is all you need.	Inf. Sci.	2024	Link
Distributed inference for the quantile regression model based on the random weighted bootstrap.	Inf. Sci.	2024	Link
Flexi-BOPI: Flexible granularity pipeline inference with Bayesian optimization for deep learning models on HMPSoC.	Inf. Sci.	2024	Link
GradDiff: Gradient-based membership inference attacks against federated distillation with differential comparison.	Inf. Sci.	2024	Link
Modeling brain information flow dynamics with multidimensional fuzzy inference systems.	Inf. Sci.	2024	Link
Modeling methods for deep fuzzy inference systems based on feature selection.	Inf. Sci.	2024	Link
SecureTLM: Private inference for transformer-based large model with MPC.	Inf. Sci.	2024	Link

2023

Title	Venue	Year	Link
B-LNN: Inference-time linear model for secure neural network inference.	Inf. Sci.	2023	Link
Total variation distance privacy: Accurately measuring inference attacks and improving utility.	Inf. Sci.	2023	Link

2022

Title	Venue	Year	Link
Secret inference and attacktability analysis of discrete event systems.	Inf. Sci.	2022	Link

2021

Title	Venue	Year	Link
Combined cause inference: Definition, model and performance.	Inf. Sci.	2021	Link
Data-driven inference modeling based on an on-line Wang-Mendel fuzzy approach.	Inf. Sci.	2021	Link

2020

Title	Venue	Year	Link
Inference attacks on genomic privacy with an improved HMM and an RCNN model for unrelated individuals.	Inf. Sci.	2020	Link

2008

Title	Venue	Year	Link
Inference of differential equation models by genetic programming.	Inf. Sci.	2008	Link

2002

Title	Venue	Year	Link
Evolutionary modeling and inference of gene network.	Inf. Sci.	2002	Link

1988

Title	Venue	Year	Link
A modeling of search oriented thesaurus use based on multivalued logical inference.	Inf. Sci.	1988	Link

1985

Title	Venue	Year	Link
A formal model of diagnostic inference, II. Algorithmic solution and application.	Inf. Sci.	1985	Link
A formal model of diagnostic inference. I. Problem formulation and decomposition.	Inf. Sci.	1985	Link

Expert Syst. Appl.

Expand Expert Syst. Appl.

2026

Title	Venue	Year	Link
A new benchmark dataset and mixture-of-experts language models for adversarial natural language inference in Vietnamese.	Expert Syst. Appl.	2026	Link
An effective expectation-maximization algorithm for two-layer mixture model of Gaussian process functional regressions via variational inference.	Expert Syst. Appl.	2026	Link
FedCkic: A federated learning inference attack defense method based on centralized key agreement and integrity verification.	Expert Syst. Appl.	2026	Link
Preserving data and model privacy during inference and training.	Expert Syst. Appl.	2026	Link

2025

Title	Venue	Year	Link
A Bayesian inference-based framework for modeling imperfect post-repair behavior of remaining useful life under uncertainty.	Expert Syst. Appl.	2025	Link
Numerical computation of Cross nanofluid model using neural network and Adaptive Neuro-Fuzzy Inference system with statistical insights for enhanced flow optimization.	Expert Syst. Appl.	2025	Link
Reject inference for default prediction based on three-way decision theory and bagging ensemble model: Evidence from Chinese MSEs.	Expert Syst. Appl.	2025	Link

2024

Title	Venue	Year	Link
Fuzzy modelling and inference for physics-aware road vehicle driver behaviour model calibration.	Expert Syst. Appl.	2024	Link
Modeling of the lyotropic cholesteric liquid crystal based toxic gas sensor using adaptive neuro-fuzzy inference systems.	Expert Syst. Appl.	2024	Link
Parallel inference for cross-collection latent generalized Dirichlet allocation model and applications.	Expert Syst. Appl.	2024	Link
Privacy-preserving inference resistant to model extraction attacks.	Expert Syst. Appl.	2024	Link

2023

Title	Venue	Year	Link
A Short-term solar irradiance forecasting modelling approach based on three decomposition algorithms and Adaptive Neuro-Fuzzy Inference System.	Expert Syst. Appl.	2023	Link
An interpretable intuitionistic fuzzy inference model for stock prediction.	Expert Syst. Appl.	2023	Link
Attention-based hierarchical random graph model for structural inference of real-world networks.	Expert Syst. Appl.	2023	Link
Implementing ultra-lightweight co-inference model in ubiquitous edge device for atrial fibrillation detection.	Expert Syst. Appl.	2023	Link
Introducing a novel multi-objective optimization model for volunteer assignment in the post-disaster phase: Combining fuzzy inference systems with NSGA-II and NRGA.	Expert Syst. Appl.	2023	Link

2022

Title	Venue	Year	Link
An advanced decision-making model for evaluating manufacturing plant locations using fuzzy inference system.	Expert Syst. Appl.	2022	Link
Robust data expansion for optimised modelling using adaptive neuro-fuzzy inference systems.	Expert Syst. Appl.	2022	Link

2021

Title	Venue	Year	Link
EMG pattern recognition via Bayesian inference with scale mixture-based stochastic generative models.	Expert Syst. Appl.	2021	Link
Probabilistic modeling approach for interpretable inference and prediction with data for sepsis diagnosis.	Expert Syst. Appl.	2021	Link

2019

Title	Venue	Year	Link
Word n-gram attention models for sentence similarity and inference.	Expert Syst. Appl.	2019	Link

2016

Title	Venue	Year	Link
Implementing a fuzzy inference system in a multi-objective EEG channel selection model for imagined speech classification.	Expert Syst. Appl.	2016	Link

2015

Title	Venue	Year	Link
Modeling of zenith path delay over Antarctica using an adaptive neuro fuzzy inference system technique.	Expert Syst. Appl.	2015	Link
Performance comparison of Adoptive Neuro Fuzzy Inference System (ANFIS) with Loading Simulation Program C++ (LSPC) model for streamflow simulation in El Niño Southern Oscillation (ENSO)-affected watershed.	Expert Syst. Appl.	2015	Link

2012

Title	Venue	Year	Link
Adaptive neuro-fuzzy inference system modeling of cryogenically treated AISI M2 HSS turning tool for estimation of flank wear.	Expert Syst. Appl.	2012	Link
Evolutionary risk preference inference model using fuzzy support vector machine for road slope collapse prediction.	Expert Syst. Appl.	2012	Link
Fuzzy inference systems: An integrated modeling environment for collaboration between expert knowledge and data using FisPro.	Expert Syst. Appl.	2012	Link
Predictive student model supported by fuzzy-causal knowledge and inference.	Expert Syst. Appl.	2012	Link

2011

Title	Venue	Year	Link
A fuzzy inference system-based criterion-referenced assessment model.	Expert Syst. Appl.	2011	Link
A hybrid model based on adaptive-network-based fuzzy inference system to forecast Taiwan stock market.	Expert Syst. Appl.	2011	Link
An adaptive neuro-fuzzy inference system model for predicting the performance of a refrigeration system with a cooling tower.	Expert Syst. Appl.	2011	Link
Application of adaptive neuro-fuzzy inference system in modeling fatigue life under interspersed mixed-mode (I and II) spike overload.	Expert Syst. Appl.	2011	Link
Decision making for contractor insurance deductible using the evolutionary support vector machines inference model.	Expert Syst. Appl.	2011	Link
Predicting high-tech equipment fabrication cost with a novel evolutionary SVM inference model.	Expert Syst. Appl.	2011	Link

2010

Title	Venue	Year	Link
An Adaptive Neuro-Fuzzy Inference System modeling for material removal rate in stationary ultrasonic drilling of sillimanite ceramic.	Expert Syst. Appl.	2010	Link
Application of fuzzy inference system and nonlinear regression models for predicting rock brittleness.	Expert Syst. Appl.	2010	Link
Modeling of interactions among sustainability components of an agro-ecosystem using local knowledge through cognitive mapping and fuzzy inference system.	Expert Syst. Appl.	2010	Link

2009

Title	Venue	Year	Link
An adaptive neuro-fuzzy inference system (ANFIS) model for wire-EDM.	Expert Syst. Appl.	2009	Link
The modeling of mode choices of intercity freight transportation with the artificial neural networks and adaptive neuro-fuzzy inference system.	Expert Syst. Appl.	2009	Link

2008

Title	Venue	Year	Link
Value-added treatment inference model for rule-based certainty knowledge.	Expert Syst. Appl.	2008	Link

IEEE Trans. Speech Audio Process.

Expand IEEE Trans. Speech Audio Process.

2013

Title	Venue	Year	Link
Model-Based Multiple Pitch Tracking Using Factorial HMMs: Model Adaptation and Inference.	IEEE Trans. Speech Audio Process.	2013	Link

IEEE ACM Trans. Audio Speech Lang. Process.

Expand IEEE ACM Trans. Audio Speech Lang. Process.

2024

Title	Venue	Year	Link
Adaptive Ensemble Self-Distillation With Consistent Gradients for Fast Inference of Pretrained Language Models.	IEEE ACM Trans. Audio Speech Lang. Process.	2024	Link

Trans. Assoc. Comput. Linguistics

Expand Trans. Assoc. Comput. Linguistics

2020

Title	Venue	Year	Link
Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System?	Trans. Assoc. Comput. Linguistics	2020	Link

Neural Networks

Expand Neural Networks

2026

Title	Venue	Year	Link
Deep belief Markov models for POMDP inference.	Neural Networks	2026	Link
fastiSSM: Fast inference of state space model with online model approximation in frequency-domain.	Neural Networks	2026	Link

2025

Title	Venue	Year	Link
Supporting vision-language model few-shot inference with confounder-pruned knowledge prompt.	Neural Networks	2025	Link

2024

Title	Venue	Year	Link
SIA: A sustainable inference attack framework in split learning.	Neural Networks	2024	Link

2023

Title	Venue	Year	Link
Amortized Bayesian inference on generative dynamical network models of epilepsy using deep neural density estimators.	Neural Networks	2023	Link

2022

Title	Venue	Year	Link
Leveraging hierarchy in multimodal generative models for effective cross-modality inference.	Neural Networks	2022	Link

2021

Title	Venue	Year	Link
Bidirectional interaction between visual and motor generative models using Predictive Coding and Active Inference.	Neural Networks	2021	Link
World model learning and inference.	Neural Networks	2021	Link

2019

Title	Venue	Year	Link
Variational inference with Gaussian mixture model and householder flow.	Neural Networks	2019	Link

2011

Title	Venue	Year	Link
Bayesian inference for an adaptive Ordered Probit model: An application to Brain Computer Interfacing.	Neural Networks	2011	Link

2008

Title	Venue	Year	Link
Modeling semantics of inconsistent qualitative knowledge for quantitative Bayesian network inference.	Neural Networks	2008	Link

2006

Title	Venue	Year	Link
TWNFI - a transductive neuro-fuzzy inference system with weighted data normalization for personalized modeling.	Neural Networks	2006	Link

2001

Title	Venue	Year	Link
Connectionist inference models.	Neural Networks	2001	Link

Neurocomputing

Expand Neurocomputing

2026

Title	Venue	Year	Link
Sycophancy in vision-language models: A systematic analysis and an inference-time mitigation framework.	Neurocomputing	2026	Link

2025

Title	Venue	Year	Link
A defense mechanism against label inference attacks in Vertical Federated Learning.	Neurocomputing	2025	Link
A distributed inference algorithm for Dirichlet process mixture models with exponential family components.	Neurocomputing	2025	Link
CausalSR: Structural causal model-driven super-resolution with counterfactual inference.	Neurocomputing	2025	Link
Enhancing Tiny Object Detection Using Guided Object Inference Slicing (GOIS): An efficient dynamic adaptive framework for fine-tuned and non-fine-tuned deep learning models.	Neurocomputing	2025	Link
FeaUn: Feature unlearning in vertical federated learning for IIoT against feature inference attacks.	Neurocomputing	2025	Link
Masked graph autoencoder-based multi-agent dynamic relational inference model for trajectory prediction.	Neurocomputing	2025	Link

2024

Title	Venue	Year	Link
Cross-Modal Concept Learning and Inference for Vision-Language Models.	Neurocomputing	2024	Link
Private-preserving language model inference based on secure multi-party computation.	Neurocomputing	2024	Link

2022

Title	Venue	Year	Link
Infer-AVAE: An attribute inference model based on adversarial variational autoencoder.	Neurocomputing	2022	Link
Real-time dynamic network learning for location inference modelling and computing.	Neurocomputing	2022	Link

2021

Title	Venue	Year	Link
Extended variational inference for gamma mixture model in positive vectors modeling.	Neurocomputing	2021	Link
Resisting membership inference attacks through knowledge distillation.	Neurocomputing	2021	Link

2020

Title	Venue	Year	Link
Nonparametric Topic Modeling with Neural Inference.	Neurocomputing	2020	Link

2016

Title	Venue	Year	Link
Parameter inference of general nonlinear dynamical models of gene regulatory networks from small and noisy time series.	Neurocomputing	2016	Link

2015

Title	Venue	Year	Link
Neural modeling of sequential inferences and learning over episodic memory.	Neurocomputing	2015	Link

2010

Title	Venue	Year	Link
Automatic clustering-based identification of autoregressive fuzzy inference models for time series.	Neurocomputing	2010	Link
Variational inference for Student-t MLP models.	Neurocomputing	2010	Link

2008

Title	Venue	Year	Link
Efficient Bayesian inference for harmonic models via adaptive posterior factorization.	Neurocomputing	2008	Link

2005

Title	Venue	Year	Link
Variational inference for Student-t models: Robust Bayesian interpolation and generalised component analysis.	Neurocomputing	2005	Link

2001

Title	Venue	Year	Link
Causality: Models, Reasoning, and Inference : Judea Pearl; Cambridge University Press, Cambridge, UK, 2000, pp 384, ISBN 0-521-77362-8.	Neurocomputing	2001	Link

1999

Title	Venue	Year	Link
Models of paradoxical lesion effects and rules of inference for imputing function to structure in the brain.	Neurocomputing	1999	Link

Neural Comput. Appl.

Expand Neural Comput. Appl.

2025

Title	Venue	Year	Link
Cancer progression inference using a finite-state model to allow recurrences and losses of mutations.	Neural Comput. Appl.	2025	Link

2024

Title	Venue	Year	Link
Evolutionary variational inference for Bayesian generalized nonlinear models.	Neural Comput. Appl.	2024	Link

2023

Title	Venue	Year	Link
A multilayer inference engine for individualized tutoring model: adapting learning material and its granularity.	Neural Comput. Appl.	2023	Link
Determining the gender wage gap through causal inference and machine learning models: evidence from Chile.	Neural Comput. Appl.	2023	Link
Multi-level membership inference attacks in federated Learning based on active GAN.	Neural Comput. Appl.	2023	Link

2022

Title	Venue	Year	Link
Correction to: Co-active neuro-fuzzy inference system model as single imputation approach for non-monotone pattern of missing data.	Neural Comput. Appl.	2022	Link
Intuitionistic fuzzy inference system with weighted comprehensive evaluation considering standard deviation-cosine entropy: a fused forecasting model.	Neural Comput. Appl.	2022	Link

2021

Title	Venue	Year	Link
Co-active neuro-fuzzy inference system model as single imputation approach for non-monotone pattern of missing data.	Neural Comput. Appl.	2021	Link
Privacy protection of online social network users, against attribute inference attacks, through the use of a set of exhaustive rules.	Neural Comput. Appl.	2021	Link

2018

Title	Venue	Year	Link
A combined adaptive neuro-fuzzy inference system-firefly algorithm model for predicting the roller length of a hydraulic jump on a rough channel bed.	Neural Comput. Appl.	2018	Link
A novel hybrid artificial intelligent approach based on neural fuzzy inference model and particle swarm optimization for horizontal displacement modeling of hydropower dam.	Neural Comput. Appl.	2018	Link

2017

Title	Venue	Year	Link
Minimum description length inference of phrase-based translation models.	Neural Comput. Appl.	2017	Link

2015

Title	Venue	Year	Link
Wavelet and adaptive neuro-fuzzy inference system conjunction model for groundwater level predicting in a coastal aquifer.	Neural Comput. Appl.	2015	Link

2013

Title	Venue	Year	Link
Adaptive neuro-fuzzy inference system-based model for elevation-surface area-storage interrelationships.	Neural Comput. Appl.	2013	Link
Stress-strain modeling of high-strength concrete by the adaptive network-based fuzzy inference system (ANFIS) approach.	Neural Comput. Appl.	2013	Link

2011

Title	Venue	Year	Link
Model reduction and optimization of reactive batch distillation based on the adaptive neuro-fuzzy inference system and differential evolution.	Neural Comput. Appl.	2011	Link

J. Artif. Intell. Res.

Expand J. Artif. Intell. Res.

2011

Title	Venue	Year	Link
Exploiting Structure in Weighted Model Counting Approaches to Probabilistic Inference.	J. Artif. Intell. Res.	2011	Link

2008

Title	Venue	Year	Link
Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems.	J. Artif. Intell. Res.	2008	Link
Latent Tree Models and Approximate Inference in Bayesian Networks.	J. Artif. Intell. Res.	2008	Link

WOOT @ USENIX Security Symposium

Expand WOOT @ USENIX Security Symposium

2024

Title	Venue	Year	Link
Amplifying Threats: The Role of Multi-Sender Coordination in SMS-Timing-Based Location Inference Attacks.	WOOT @ USENIX Security Symposium	2024	Link

IEEE Trans. Emerg. Top. Comput.

Expand IEEE Trans. Emerg. Top. Comput.

2023

Title	Venue	Year	Link
Use the Spear as a Shield: An Adversarial Example Based Privacy-Preserving Technique Against Membership Inference Attacks.	IEEE Trans. Emerg. Top. Comput.	2023	Link

ACM Trans. Priv. Secur.

Expand ACM Trans. Priv. Secur.

2023

Title	Venue	Year	Link
Defending Against Membership Inference Attacks on Beacon Services.	ACM Trans. Priv. Secur.	2023	Link

2018

Title	Venue	Year	Link
Attribute Inference Attacks in Online Social Networks.	ACM Trans. Priv. Secur.	2018	Link

2017

Title	Venue	Year	Link
Efficient Attack Graph Analysis through Approximate Inference.	ACM Trans. Priv. Secur.	2017	Link

arXiv

Expand arXiv

2026

Title	Venue	Year	Link
A Machine Learning Framework for Off Ball Defensive Role and Performance Evaluation in Football	arXiv	2026	Link
A Universal Load Balancing Principle and Its Application to Large Language Model Serving	arXiv	2026	Link
AST-PAC: AST-guided Membership Inference for Code	arXiv	2026	Link
Adaptive and Robust Cost-Aware Proof of Quality for Decentralized LLM Inference Networks	arXiv	2026	Link
Are More Tokens Rational? Inference-Time Scaling in Language Models as Adaptive Resource Rationality	arXiv	2026	Link
Are you going to finish that? A Practical Study of the Partial Token Problem	arXiv	2026	Link
Assessing astrophysical foreground subtraction in DECIGO using compact binary populations inferred from the first part of the LIGO-Virgo-KAGRA's fourth observation run	arXiv	2026	Link
AtPatch: Debugging Transformers via Hot-Fixing Over-Attention	arXiv	2026	Link
AttenMIA: LLM Membership Inference Attack through Attention Signals	arXiv	2026	Link
Bagging-Based Model Merging for Robust General Text Embeddings	arXiv	2026	Link
Bayesian Quadrature: Gaussian Processes for Integration	arXiv	2026	Link
Beyond GEMM-Centric NPUs: Enabling Efficient Diffusion LLM Sampling	arXiv	2026	Link
Beyond Refusal: Probing the Limits of Agentic Self-Correction for Semantic Sensitive Information	arXiv	2026	Link
Brazilian Portuguese Image Captioning with Transformers: A Study on Cross-Native-Translated Dataset	arXiv	2026	Link
COFFEE: COdesign Framework for Feature Enriched Embeddings in Ads-Ranking Systems	arXiv	2026	Link
Can Inherent Communication Noise Guarantee Privacy in Distributed Cooperative Control ?	arXiv	2026	Link
Challenges and Research Directions for Large Language Model Inference Hardware	arXiv	2026	Link
Constitutive parameter inference using physics-based data-driven modeling in full volume datasets of intact and torn rotator cuff tendons	arXiv	2026	Link
DPSQL+: A Differentially Private SQL Library with a Minimum Frequency Rule	arXiv	2026	Link
Deep Kernel Fusion for Transformers	arXiv	2026	Link
DeepLeak: Privacy Enhancing Hardening of Model Explanations Against Membership Leakage	arXiv	2026	Link
DySL-VLA: Efficient Vision-Language-Action Model Inference via Dynamic-Static Layer-Skipping for Robot Manipulation	arXiv	2026	Link
EPD-Serve: A Flexible Multimodal EPD Disaggregation Inference Serving System On Ascend	arXiv	2026	Link
Equivariant Evidential Deep Learning for Interatomic Potentials	arXiv	2026	Link
Exchangeable random permutations with an application to Bayesian graph matching	arXiv	2026	Link
FARTrack: Fast Autoregressive Visual Tracking with High Performance	arXiv	2026	Link
FUPareto: Bridging the Forgetting-Utility Gap in Federated Unlearning via Pareto Augmented Optimization	arXiv	2026	Link
FastAV: Efficient Token Pruning for Audio-Visual Large Language Model Inference	arXiv	2026	Link
FastUSP: A Multi-Level Collaborative Acceleration Framework for Distributed Diffusion Model Inference	arXiv	2026	Link
Fed-Listing: Federated Label Distribution Inference in Graph Neural Networks	arXiv	2026	Link
Flatter Tokens are More Valuable for Speculative Draft Model Training	arXiv	2026	Link
Following the Diagnostic Trace: Visual Cognition-guided Cooperative Network for Chest X-Ray Diagnosis	arXiv	2026	Link
From shape to fate: making bacterial swarming expansion predictable	arXiv	2026	Link
Generalized Leverage Score for Scalable Assessment of Privacy Vulnerability	arXiv	2026	Link
Generating High-quality Privacy-preserving Synthetic Data	arXiv	2026	Link
Grad2Reward: From Sparse Judgment to Dense Rewards for Improving Open-Ended LLM Reasoning	arXiv	2026	Link
HALO: Semantic-Aware Distributed LLM Inference in Lossy Edge Network	arXiv	2026	Link
HIPPO: Accelerating Video Large Language Models Inference via Holistic-aware Parallel Speculative Decoding	arXiv	2026	Link
HiFloat4 Format for Language Model Inference	arXiv	2026	Link
How to Train Your Filter: Should You Learn, Stack or Adapt?	arXiv	2026	Link
Improving User Privacy in Personalized Generation: Client-Side Retrieval-Augmented Modification of Server-Side Generated Speculations	arXiv	2026	Link
Interpreting and Controlling LLM Reasoning through Integrated Policy Gradient	arXiv	2026	Link
Jolt Atlas: Verifiable Inference via Lookup Arguments in Zero Knowledge	arXiv	2026	Link
Latent Objective Induction and Diversity-Constrained Selection: Algorithms for Multi-Locale Retrieval Pipelines	arXiv	2026	Link
LeakBoost: Perceptual-Loss-Based Membership Inference Attack	arXiv	2026	Link
Leap+Verify: Regime-Adaptive Speculative Weight Prediction for Accelerating Neural Network Training	arXiv	2026	Link
Learning to Detect Language Model Training Data via Active Reconstruction	arXiv	2026	Link
Leveraging Soft Prompts for Privacy Attacks in Federated Prompt Tuning	arXiv	2026	Link
LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings	arXiv	2026	Link
LoRA and Privacy: When Random Projections Help (and When They Don't)	arXiv	2026	Link
MXFormer: A Microscaling Floating-Point Charge-Trap Transistor Compute-in-Memory Transformer Accelerator	arXiv	2026	Link
MaRI: Accelerating Ranking Model Inference via Structural Re-parameterization in Large Scale Recommendation System	arXiv	2026	Link
MapVerse: A Benchmark for Geospatial Question Answering on Diverse Real-World Maps	arXiv	2026	Link
Membership Inference Attack Against Music Diffusion Models via Generative Manifold Perturbation	arXiv	2026	Link
Membership Inference Attacks from Causal Principles	arXiv	2026	Link
Membership Inference on LLMs in the Wild	arXiv	2026	Link
Mitigating Membership Inference in Intermediate Representations via Layer-wise MIA-risk-aware DP-SGD	arXiv	2026	Link
Mitigating Timing-Based Attacks in Real-Time Cyber-Physical Systems	arXiv	2026	Link
Modeling Expert AI Diagnostic Alignment via Immutable Inference Snapshots	arXiv	2026	Link
Modular Foundation Model Inference at the Edge: Network-Aware Microservice Optimization	arXiv	2026	Link
Multi-Agentic AI for Fairness-Aware and Accelerated Multi-modal Large Model Inference in Real-world Mobile Edge Networks	arXiv	2026	Link
Multi-Token Prediction via Self-Distillation	arXiv	2026	Link
NLP Privacy Risk Identification in Social Media (NLP-PRISM): A Survey	arXiv	2026	Link
NanoNet: Parameter-Efficient Learning with Label-Scarce Supervision for Lightweight Text Mining Model	arXiv	2026	Link
Neighborhood Blending: A Lightweight Inference-Time Defense Against Membership Inference Attacks	arXiv	2026	Link
No Caption, No Problem: Caption-Free Membership Inference via Model-Fitted Embeddings	arXiv	2026	Link
Noise as a Probe: Membership Inference Attacks on Diffusion Models Leveraging Initial Noise	arXiv	2026	Link
On the Evidentiary Limits of Membership Inference for Copyright Auditing	arXiv	2026	Link
PAC-Private Responses with Adversarial Composition	arXiv	2026	Link
POP: Prefill-Only Pruning for Efficient Large Model Inference	arXiv	2026	Link
PRISM: Differentially Private Synthetic Data with Structure-Aware Budget Allocation for Prediction	arXiv	2026	Link
Parametric-Sensitivity Aware Retransmission for Efficient AI Downloading	arXiv	2026	Link
Powerful Training-Free Membership Inference Against Autoregressive Language Models	arXiv	2026	Link
Predicting Future Utility: Global Combinatorial Optimization for Task-Agnostic KV Cache Eviction	arXiv	2026	Link
Privacy Enhanced PEFT: Tensor Train Decomposition Improves Privacy Utility Tradeoffs under DP-SGD	arXiv	2026	Link
Privacy-Preserving Federated Learning with Verifiable Fairness Guarantees	arXiv	2026	Link
Private and Robust Contribution Evaluation in Federated Learning	arXiv	2026	Link
Protecting Private Code in IDE Autocomplete using Differential Privacy	arXiv	2026	Link
SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference	arXiv	2026	Link
SRFed: Mitigating Poisoning Attacks in Privacy-Preserving Federated Learning with Heterogeneous Data	arXiv	2026	Link
Scalable Explainability-as-a-Service (XaaS) for Edge AI Systems	arXiv	2026	Link
Scaling and tuning to criticality in resting-state human magnetoencephalography	arXiv	2026	Link
Secure Text Entry using a Virtual Radial Keyboard with Dynamically Resized Keys and Non-Intrusive Randomization	arXiv	2026	Link
Sequential Membership Inference Attacks	arXiv	2026	Link
Sequential Subspace Noise Injection Prevents Accuracy Collapse in Certified Unlearning	arXiv	2026	Link
Shadow Unlearning: A Neuro-Semantic Approach to Fidelity-Preserving Faceless Forgetting in LLMs	arXiv	2026	Link
SoK: Challenges in Tabular Membership Inference Attacks	arXiv	2026	Link
SoK: Enhancing Cryptographic Collaborative Learning with Differential Privacy	arXiv	2026	Link
Spherical Spatial Autoregressive Model for Spherically Embedded Spatial Data	arXiv	2026	Link
Statistical MIA: Rethinking Membership Inference Attack for Reliable Unlearning Auditing	arXiv	2026	Link
Stop Tracking Me! Proactive Defense Against Attribute Inference Attack in LLMs	arXiv	2026	Link
Stop the Flip-Flop: Context-Preserving Verification for Fast Revocable Diffusion Decoding	arXiv	2026	Link
Structure-constrained Language-informed Diffusion Model for Unpaired Low-dose Computed Tomography Angiography Reconstruction	arXiv	2026	Link
SwiftVLM: Efficient Vision-Language Model Inference via Cross-Layer Token Bypass	arXiv	2026	Link
SynQP: A Framework and Metrics for Evaluating the Quality and Privacy Risk of Synthetic Data	arXiv	2026	Link
Synthesizing Realistic Test Data without Breaking Privacy	arXiv	2026	Link
TableCache: Primary Foreign Key Guided KV Cache Precomputation for Low Latency Text-to-SQL	arXiv	2026	Link
The Mean is the Mirage: Entropy-Adaptive Model Merging under Heterogeneous Domain Shifts in Medical Imaging	arXiv	2026	Link
ViTCoP: Accelerating Large Vision-Language Models via Visual and Textual Semantic Collaborative Pruning	arXiv	2026	Link
VidLeaks: Membership Inference Attacks Against Text-to-Video Models	arXiv	2026	Link
What Hard Tokens Reveal: Exploiting Low-confidence Tokens for Membership Inference Attacks against Large Language Models	arXiv	2026	Link
When Reasoning Leaks Membership: Membership Inference Attack on Black-box Large Reasoning Models	arXiv	2026	Link
Window-Diffusion: Accelerating Diffusion Language Model Inference with Windowed Token Pruning and Caching	arXiv	2026	Link
Window-based Membership Inference Attacks Against Fine-tuned Large Language Models	arXiv	2026	Link
iPDB -- Optimizing SQL Queries with ML and LLM Predicates	arXiv	2026	Link

2025

Title	Venue	Year	Link
A BGe score for tied-covariance mixtures of Gaussian Bayesian networks	arXiv	2025	Link
A CFL-type Condition and Theoretical Insights for Discrete-Time Sparse Full-Order Model Inference	arXiv	2025	Link
A Comparison of 1D and 3D Exoplanet Atmosphere Model Grids: ScCHIMERA and the SPARC/MITgcm	arXiv	2025	Link
A Comparison of Object Detection and Phrase Grounding Models in Chest X-ray Abnormality Localization using Eye-tracking Data	arXiv	2025	Link
A Computational Cognitive Model for Processing Repetitions of Hierarchical Relations	arXiv	2025	Link
A Failure-Free and Efficient Discrete Laplace Distribution for Differential Privacy in MPC	arXiv	2025	Link
A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao	arXiv	2025	Link
A Lightweight and Secure Deep Learning Model for Privacy-Preserving Federated Learning in Intelligent Enterprises	arXiv	2025	Link
A Multi-Pass Large Language Model Framework for Precise and Efficient Radiology Report Error Detection	arXiv	2025	Link
A Privacy-Preserving Federated Framework with Hybrid Quantum-Enhanced Learning for Financial Fraud Detection	arXiv	2025	Link
A Reinforcement Learning Approach to Synthetic Data Generation	arXiv	2025	Link
A Scalable Multi-GPU Framework for Encrypted Large-Model Inference	arXiv	2025	Link
A Self-explainable Model of Long Time Series by Extracting Informative Structured Causal Patterns	arXiv	2025	Link
A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions	arXiv	2025	Link
A Unified Transformer Architecture for Low-Latency and Scalable Wireless Signal Processing	arXiv	2025	Link
A Volumetric Privacy Measure for Dynamical Systems With Bounded Disturbance	arXiv	2025	Link
A hierarchical approach for assessing the vulnerability of tree-based classification models to membership inference attack	arXiv	2025	Link
A new membership inference attack that spots memorization in generative and predictive models: Loss-Based with Reference Model algorithm (LBRM)	arXiv	2025	Link
A performance analysis of VM-based Trusted Execution Environments for Confidential Federated Learning	arXiv	2025	Link
A quadratic estimator view of the transfer function correction in intensity mapping surveys	arXiv	2025	Link
AI Accelerators for Large Language Model Inference: Architecture Analysis and Scaling Strategies	arXiv	2025	Link
AI Flow: Perspectives, Scenarios, and Approaches	arXiv	2025	Link
AI-driven Automation of End-to-end Assessment of Suturing Expertise	arXiv	2025	Link
AI-driven Dispensing of Coral Reseeding Devices for Broad-scale Restoration of the Great Barrier Reef	arXiv	2025	Link
AIBrix: Towards Scalable, Cost-Effective Large Language Model Inference Infrastructure	arXiv	2025	Link
AIF: Asynchronous Inference Framework for Cost-Effective Pre-Ranking	arXiv	2025	Link
AIvaluateXR: An Evaluation Framework for on-Device AI in XR with Benchmarking Results	arXiv	2025	Link
ALPINE: A Lightweight and Adaptive Privacy-Decision Agent Framework for Dynamic Edge Crowdsensing	arXiv	2025	Link
AMUN: Adversarial Machine UNlearning	arXiv	2025	Link
AQUATIC-Diff: Additive Quantization for Truly Tiny Compressed Diffusion Models	arXiv	2025	Link
AR as an Evaluation Playground: Bridging Metrics and Visual Perception of Computer Vision Models	arXiv	2025	Link
Accelerate High-Quality Diffusion Models with Inner Loop Feedback	arXiv	2025	Link
Accelerate Speculative Decoding with Sparse Computation in Verification	arXiv	2025	Link
Accelerating Large Language Model Inference via Early-Exiting Algorithms	arXiv	2025	Link
Accelerating Large-Scale Reasoning Model Inference with Sparse Self-Speculative Decoding	arXiv	2025	Link
Accelerating MoE Model Inference with Expert Sharding	arXiv	2025	Link
Accounting for missing data when modelling block maxima	arXiv	2025	Link
AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation	arXiv	2025	Link
AdaSD: Adaptive Speculative Decoding for Efficient Language Model Inference	arXiv	2025	Link
AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders	arXiv	2025	Link
AdaptInfer: Adaptive Token Pruning for Vision-Language Model Inference with Dynamical Text Guidance	arXiv	2025	Link
Adaptive Cache Pollution Control for Large Language Model Inference Workloads Using Temporal CNN-Based Prediction and Priority-Aware Replacement	arXiv	2025	Link
Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing	arXiv	2025	Link
Adaptive Edge-Cloud Inference for Speech-to-Action Systems Using ASR and Large Language Models	arXiv	2025	Link
AegisMCP: Online Graph Intrusion Detection for Tool-Augmented LLMs on Edge Devices	arXiv	2025	Link
Agentic AI framework for End-to-End Medical Data Inference	arXiv	2025	Link
Agentic Surgical AI: Surgeon Style Fingerprinting and Privacy Risk Quantification via Discrete Diffusion in a Vision-Language-Action Framework	arXiv	2025	Link
AirCache: Activating Inter-modal Relevancy KV Cache Compression for Efficient Large Vision-Language Model Inference	arXiv	2025	Link
Amplifying Machine Learning Attacks Through Strategic Compositions	arXiv	2025	Link
An Early Experience with Confidential Computing Architecture for On-Device Model Protection	arXiv	2025	Link
An Efficient Gradient-Based Inference Attack for Federated Learning	arXiv	2025	Link
An Empirical Analysis of Secure Federated Learning for Autonomous Vehicle Applications	arXiv	2025	Link
An Improved Privacy and Utility Analysis of Differentially Private SGD with Bounded Domain and Smooth Losses	arXiv	2025	Link
Apollo: A Posteriori Label-Only Membership Inference Attack Towards Machine Unlearning	arXiv	2025	Link
Are Statistical Methods Obsolete in the Era of Deep Learning? A Study of ODE Inverse Problems	arXiv	2025	Link
As If We've Met Before: LLMs Exhibit Certainty in Recognizing Seen Files	arXiv	2025	Link
Assessing systematic uncertainties from spectral re-analysis of Cyg X-1 with different coronal geometries	arXiv	2025	Link
Assessing the Effectiveness of Membership Inference on Generative Music	arXiv	2025	Link
Asteroseismic investigation of HD 140283: The Methuselah star	arXiv	2025	Link
AttackPilot: Autonomous Inference Attacks Against ML Services With LLM-Based Agents	arXiv	2025	Link
Auditing Approximate Machine Unlearning for Differentially Private Models	arXiv	2025	Link
AugServe: Adaptive Request Scheduling for Augmented Large Language Model Inference Serving	arXiv	2025	Link
Automatic Calibration for Membership Inference Attack on Large Language Models	arXiv	2025	Link
Automatic Generation of Aerobatic Flight in Complex Environments via Diffusion Models	arXiv	2025	Link
BLIA: Detect model memorization in binary classification model through passive Label Inference attack	arXiv	2025	Link
Bayesian Inference of Training Dataset Membership	arXiv	2025	Link
Bayesian Joint Modeling of Zero-Inflated Longitudinal Data and Survival with a Cure Fraction: Application to AIDS Data	arXiv	2025	Link
Bayesian Perspective on Memorization and Reconstruction	arXiv	2025	Link
Bayesian spatiotemporal modeling of passenger trip assignment in metro networks	arXiv	2025	Link
Better Prompt Compression Without Multi-Layer Perceptrons	arXiv	2025	Link
Beyond Classification: Evaluating Diffusion Denoised Smoothing for Security-Utility Trade off	arXiv	2025	Link
Beyond Context Limits: Subconscious Threads for Long-Horizon Reasoning	arXiv	2025	Link
Beyond Postconditions: Can Large Language Models infer Formal Contracts for Automatic Software Verification?	arXiv	2025	Link
Beyond Public Access in LLM Pre-Training Data	arXiv	2025	Link
Beyond Reproducibility: Advancing Zero-shot LLM Reranking Efficiency with Setwise Insertion	arXiv	2025	Link
Beyond Training: Enabling Self-Evolution of Agents with MOBIMEM	arXiv	2025	Link
Biologically-Informed Hybrid Membership Inference Attacks on Generative Genomic Models	arXiv	2025	Link
Black-Box Membership Inference Attack for LVLMs via Prior Knowledge-Calibrated Memory Probing	arXiv	2025	Link
Black-Box Privacy Attacks on Shared Representations in Multitask Learning	arXiv	2025	Link
Blackbox Dataset Inference for LLM	arXiv	2025	Link
Break Out the Silverware -- Semantic Understanding of Stored Household Items	arXiv	2025	Link
Breaking the Myth: Can Small Models Infer Postconditions Too?	arXiv	2025	Link
Bridging the Reality Gap in Digital Twins with Context-Aware, Physics-Guided Deep Learning	arXiv	2025	Link
CDP: Towards Robust Autoregressive Visuomotor Policy Learning via Causal Diffusion	arXiv	2025	Link
CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration	arXiv	2025	Link
CIMR-V: An End-to-End SRAM-based CIM Accelerator with RISC-V for AI Edge Device	arXiv	2025	Link
CLEANet: Robust and Efficient Anomaly Detection in Contaminated Multivariate Time Series	arXiv	2025	Link
CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation	arXiv	2025	Link
COMMET: A System for Human-Induced Conflicts in Mobile Manipulation of Everyday Tasks	arXiv	2025	Link
CON-QA: Privacy-Preserving QA using cloud LLMs in Contract Domain	arXiv	2025	Link
CSV-Decode: Certifiable Sub-Vocabulary Decoding for Efficient Large Language Model Inference	arXiv	2025	Link
Can Differentially Private Fine-tuning LLMs Protect Against Privacy Attacks?	arXiv	2025	Link
Can LLMs Learn to Map the World from Local Descriptions?	arXiv	2025	Link
Can Large Language Models Infer Causal Relationships from Real-World Text?	arXiv	2025	Link
Can Multitask Learning Enhance Model Explainability?	arXiv	2025	Link
Can Vision Language Models Infer Human Gaze Direction? A Controlled Study	arXiv	2025	Link
Can Vision-Language Models Infer Speaker's Ignorance? The Role of Visual and Linguistic Cues	arXiv	2025	Link
Can We Infer Confidential Properties of Training Data from LLMs?	arXiv	2025	Link
Cascading and Proxy Membership Inference Attacks	arXiv	2025	Link
CellARC: Measuring Intelligence with Cellular Automata	arXiv	2025	Link
ChameleonLLM: Batch-Aware Dynamic Low-Rank Adaptation via Inference-Time Clusters	arXiv	2025	Link
Characterizing Communication Patterns in Distributed Large Language Model Inference	arXiv	2025	Link
ChemKANs for Combustion Chemistry Modeling and Acceleration	arXiv	2025	Link
ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference	arXiv	2025	Link
CipherMind: The Longest Codebook in the World	arXiv	2025	Link
Clustering and Median Aggregation Improve Differentially Private Inference	arXiv	2025	Link
Co-CoT: A Prompt-Based Framework for Collaborative Chain-of-Thought Reasoning	arXiv	2025	Link
CoDS: Enhancing Collaborative Perception in Heterogeneous Scenarios via Domain Separation	arXiv	2025	Link
CoKV: Optimizing KV Cache Allocation via Cooperative Game	arXiv	2025	Link
CoSIFL: Collaborative Secure and Incentivized Federated Learning with Differential Privacy	arXiv	2025	Link
CoSMoEs: Compact Sparse Mixture of Experts	arXiv	2025	Link
CoServe: Efficient Collaboration-of-Experts (CoE) Model Inference with Limited Memory	arXiv	2025	Link
Cognitive maps are generative programs	arXiv	2025	Link
Collaborative Large Language Model Inference via Resource-Aware Parallel Speculative Decoding	arXiv	2025	Link
Communication-Efficient and Differentially Private Vertical Federated Learning with Zeroth-Order Optimization	arXiv	2025	Link
Comparative Analysis of FPGA and GPU Performance for Machine Learning-Based Track Reconstruction at LHCb	arXiv	2025	Link
Comparative Analysis of Large Language Model Inference Serving Systems: A Performance Study of vLLM and HuggingFace TGI	arXiv	2025	Link
Computation-Bandwidth-Memory Trade-offs: A Unified Paradigm for AI Infrastructure	arXiv	2025	Link
Computational Basis of LLM's Decision Making in Social Simulation	arXiv	2025	Link
Contextualize-then-Aggregate: Circuits for In-Context Learning in Gemma-2 2B	arXiv	2025	Link
Correspondence of high-dimensional emotion structures elicited by video clips between humans and Multimodal LLMs	arXiv	2025	Link
DAIQ: Auditing Demographic Attribute Inference from Question in LLMs	arXiv	2025	Link
DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration	arXiv	2025	Link
DEFT-VTON: Efficient Virtual Try-On with Consistent Generalised H-Transform	arXiv	2025	Link
DP-FedPGN: Finding Global Flat Minima for Differentially Private Federated Learning via Penalizing Gradient Norm	arXiv	2025	Link
DP-GENG : Differentially Private Dataset Distillation Guided by DP-Generated Data	arXiv	2025	Link
DP-SNP-TIHMM: Differentially Private, Time-Inhomogeneous Hidden Markov Models for Synthesizing Genome-Wide Association Datasets	arXiv	2025	Link
DSDE: Dynamic Speculative Decoding with KLD Stability for Real-World Serving	arXiv	2025	Link
Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation	arXiv	2025	Link
DeSIA: Attribute Inference Attacks Against Limited Fixed Aggregate Statistics	arXiv	2025	Link
Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent Enterprises	arXiv	2025	Link
Dedelayed: Deleting remote inference delay via on-device correction	arXiv	2025	Link
Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization	arXiv	2025	Link
Deep Unfolding with Kernel-based Quantization in MIMO Detection	arXiv	2025	Link
Defending Diffusion Models Against Membership Inference Attacks via Higher-Order Langevin Dynamics	arXiv	2025	Link
DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps	arXiv	2025	Link
Demystifying LLM-as-a-Judge: Analytically Tractable Model for Inference-Time Scaling	arXiv	2025	Link
Detecting Concept Drift in Neural Networks Using Chi-squared Goodness of Fit Testing	arXiv	2025	Link
Differential Privacy for Secure Machine Learning in Healthcare IoT-Cloud Systems	arXiv	2025	Link
Differentially Private Feature Release for Wireless Sensing: Adaptive Privacy Budget Allocation on CSI Spectrograms	arXiv	2025	Link
Differentially Private Steering for Large Language Model Alignment	arXiv	2025	Link
Differentially private fine-tuned NF-Net to predict GI cancer type	arXiv	2025	Link
Diffusion Generative Models Meet Compressed Sensing, with Applications to Imaging and Finance	arXiv	2025	Link
Diffusion Language Model Inference with Monte Carlo Tree Search	arXiv	2025	Link
Diffusion-Based Limited-Angle CT Reconstruction under Noisy Conditions	arXiv	2025	Link
Discovering Influential Neuron Path in Vision Transformers	arXiv	2025	Link
DistrEE: Distributed Early Exit of Deep Neural Network Inference on Edge Devices	arXiv	2025	Link
Distributional Multi-objective Black-box Optimization for Diffusion-model Inference-time Multi-Target Generation	arXiv	2025	Link
DocMIA: Document-Level Membership Inference Attacks against DocVQA Models	arXiv	2025	Link
Dora: QoE-Aware Hybrid Parallelism for Distributed Edge AI	arXiv	2025	Link
Dynamic Probabilistic Noise Injection for Membership Inference Defense	arXiv	2025	Link
EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression	arXiv	2025	Link
EL-MIA: Quantifying Membership Inference Risks of Sensitive Entities in LLMs	arXiv	2025	Link
EPEE: Towards Efficient and Effective Foundation Models in Biomedicine	arXiv	2025	Link
EVolutionary Independent DEtermiNistiC Explanation	arXiv	2025	Link
Edge-Based Speech Transcription and Synthesis for Kinyarwanda and Swahili Languages	arXiv	2025	Link
Edge-First Language Model Inference: Models, Metrics, and Tradeoffs	arXiv	2025	Link
Effective Code Membership Inference for Code Completion Models via Adversarial Prompts	arXiv	2025	Link
Efficient Correlation Volume Sampling for Ultra-High-Resolution Optical Flow Estimation	arXiv	2025	Link
Efficient Large Language Model Inference with Neural Block Linearization	arXiv	2025	Link
Efficient Membership Inference Attacks by Bayesian Neural Network	arXiv	2025	Link
Efficient Mixed-Precision Large Language Model Inference with TurboMind	arXiv	2025	Link
Efficient Privacy-Preserving Training of Quantum Neural Networks by Using Mixed States to Represent Input Data Ensembles	arXiv	2025	Link
Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models	arXiv	2025	Link
Efficient and Reuseable Cloud Configuration Search Using Discovery Spaces	arXiv	2025	Link
Embedding-Space Data Augmentation to Prevent Membership Inference Attacks in Clinical Time Series Forecasting	arXiv	2025	Link
Emission-line Stacking of 21cm Intensity Maps with MeerKLASS: Inference Pipeline and Application to the L-band Deep-field Data	arXiv	2025	Link
Empirical Calibration and Metric Differential Privacy in Language Models	arXiv	2025	Link
Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities	arXiv	2025	Link
Enabling Low-Cost Secure Computing on Untrusted In-Memory Architectures	arXiv	2025	Link
Encoder-Decoder Diffusion Language Models for Efficient Training and Inference	arXiv	2025	Link
Encrypted Large Model Inference: The Equivariant Encryption Paradigm	arXiv	2025	Link
End-to-End Efficiency in Keyword Spotting: A System-Level Approach for Embedded Microcontrollers	arXiv	2025	Link
Energy Considerations of Large Language Model Inference and Efficiency Optimizations	arXiv	2025	Link
Energy Scaling Laws for Diffusion Models: Quantifying Compute and Carbon Emissions in Image Generation	arXiv	2025	Link
English K_Quantization of LLMs Does Not Disproportionately Diminish Multilingual Performance	arXiv	2025	Link
Enhancing Leakage Attacks on Searchable Symmetric Encryption Using LLM-Based Synthetic Data Generation	arXiv	2025	Link
Enhancing Membership Inference Attacks on Diffusion Models from a Frequency-Domain Perspective	arXiv	2025	Link
Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference	arXiv	2025	Link
Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach	arXiv	2025	Link
Enhancing Vision-Language Models for Autonomous Driving through Task-Specific Prompting and Spatial Reasoning	arXiv	2025	Link
Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks	arXiv	2025	Link
EntroLLM: Entropy Encoded Weight Compression for Efficient Large Language Model Inference on Edge Devices	arXiv	2025	Link
Entropy Adaptive Decoding: Dynamic Model Switching for Efficient Inference	arXiv	2025	Link
Epistemic-aware Vision-Language Foundation Model for Fetal Ultrasound Interpretation	arXiv	2025	Link
Error Notebook-Guided, Training-Free Part Retrieval in 3D CAD Assemblies via Vision-Language Models	arXiv	2025	Link
Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets	arXiv	2025	Link
Evaluating Membership Inference Attacks in heterogeneous-data setups	arXiv	2025	Link
Evaluating the Defense Potential of Machine Unlearning against Membership Inference Attacks	arXiv	2025	Link
EverTracer: Hunting Stolen Large Language Models via Stealthy and Robust Probabilistic Fingerprint	arXiv	2025	Link
Expected Attention: KV Cache Compression by Estimating Attention from Future Queries Distribution	arXiv	2025	Link
Experts are all you need: A Composable Framework for Large Language Model Inference	arXiv	2025	Link
Explaining Why Things Go Where They Go: Interpretable Constructs of Human Organizational Preferences	arXiv	2025	Link
Exploiting Information Redundancy in Attention Maps for Extreme Quantization of Vision Transformers	arXiv	2025	Link
Exploiting Sparsity for Long Context Inference: Million Token Contexts on Commodity GPUs	arXiv	2025	Link
Exploring $\ell_0$ Sparsification for Inference-free Sparse Retrievers	arXiv	2025	Link
Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks	arXiv	2025	Link
Exploring the Impact of Temperature on Large Language Models:Hot or Cold?	arXiv	2025	Link
Exploring the limits of strong membership inference attacks on large language models	arXiv	2025	Link
Exposing and Defending Membership Leakage in Vulnerability Prediction Models	arXiv	2025	Link
Exqutor: Extended Query Optimizer for Vector-augmented Analytical Queries	arXiv	2025	Link
FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs	arXiv	2025	Link
FASTRIC: Prompt Specification Language for Verifiable LLM Interactions	arXiv	2025	Link
FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision	arXiv	2025	Link
FHE-SQL: Fully Homomorphic Encrypted SQL Database	arXiv	2025	Link
FPGA Co-Design for Efficient N:M Sparse and Quantized Model Inference	arXiv	2025	Link
Fast and Accurate Causal Parallel Decoding using Jacobi Forcing	arXiv	2025	Link
Fast-MIA: Efficient and Scalable Membership Inference for LLMs	arXiv	2025	Link
FastFHE: Packing-Scalable and Depthwise-Separable CNN Inference Over FHE	arXiv	2025	Link
FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction	arXiv	2025	Link
FastVLM: Self-Speculative Decoding for Fast Vision-Language Model Inference	arXiv	2025	Link
FedRand: Enhancing Privacy in Federated Learning with Randomized LoRA Subparameter Updates	arXiv	2025	Link
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization	arXiv	2025	Link
Federated Learning-based Semantic Segmentation for Lane and Object Detection in Autonomous Driving	arXiv	2025	Link
Federated Learning: An approach with Hybrid Homomorphic Encryption	arXiv	2025	Link
FiMMIA: scaling semantic perturbation-based membership inference across modalities	arXiv	2025	Link
FinP: Fairness-in-Privacy in Federated Learning by Addressing Disparities in Privacy Risk	arXiv	2025	Link
Find a Scapegoat: Poisoning Membership Inference Attack and Defense to Federated Learning	arXiv	2025	Link
Finding Answers in Thought Matters: Revisiting Evaluation on Large Language Models with Reasoning	arXiv	2025	Link
FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model Evaluation	arXiv	2025	Link
FlashDLM: Accelerating Diffusion Language Model Inference via Efficient KV Caching and Guided Diffusion	arXiv	2025	Link
FlexOlmo: Open Language Models for Flexible Data Use	arXiv	2025	Link
FlowKV: A Disaggregated Inference Framework with Low-Latency KV Cache Transfer and Load-Aware Scheduling	arXiv	2025	Link
Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings	arXiv	2025	Link
Fragments to Facts: Partial-Information Fragment Inference from LLMs	arXiv	2025	Link
Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models	arXiv	2025	Link
From Chaos to Clarity: Schema-Constrained AI for Auditable Biomedical Evidence Extraction from Full-Text PDFs	arXiv	2025	Link
From Models to Network Topologies: A Topology Inference Attack in Decentralized Federated Learning	arXiv	2025	Link
GATEBLEED: Exploiting On-Core Accelerator Power Gating for High Performance & Stealthy Attacks on AI	arXiv	2025	Link
GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning	arXiv	2025	Link
GPT as a Monte Carlo Language Tree: A Probabilistic Perspective	arXiv	2025	Link
GPU Temperature Simulation-Based Testing for In-Vehicle Deep Learning Frameworks	arXiv	2025	Link
Gaussian DP for Reporting Differential Privacy Guarantees in Machine Learning	arXiv	2025	Link
Generative AI for Video Translation: A Scalable Architecture for Multilingual Video Conferencing	arXiv	2025	Link
Generative Flexible Latent Structure Regression (GFLSR) model	arXiv	2025	Link
Generator Cost Coefficients Inference Attack via Exploitation of Locational Marginal Prices in Smart Grid	arXiv	2025	Link
Granulation signatures in 3D hydrodynamical simulations: evaluating background model performance using a Bayesian nested sampling framework	arXiv	2025	Link
Graphical Models and Efficient Inference Methods for Multivariate Phase Probability Distributions	arXiv	2025	Link
Group Diffusion: Enhancing Image Generation by Unlocking Cross-Sample Collaboration	arXiv	2025	Link
Guarding Against Malicious Biased Threats (GAMBiT): Experimental Design of Cognitive Sensors and Triggers with Behavioral Impact Analysis	arXiv	2025	Link
H1B-KV: Hybrid One-Bit Caches for Memory-Efficient Large Language Model Inference	arXiv	2025	Link
HATA: Trainable and Hardware-Efficient Hash-Aware Top-k Attention for Scalable Large Model Inference	arXiv	2025	Link
HPIM: Heterogeneous Processing-In-Memory-based Accelerator for Large Language Models Inference	arXiv	2025	Link
Hardware-based Heterogeneous Memory Management for Large Language Model Inference	arXiv	2025	Link
Hi-SAFE: Hierarchical Secure Aggregation for Lightweight Federated Learning	arXiv	2025	Link
Hierarchical Verification of Speculative Beams for Accelerating LLM Inference	arXiv	2025	Link
Highly Undersampled MRI Reconstruction via a Single Posterior Sampling of Diffusion Models	arXiv	2025	Link
Hot Diggity Dog: Simultaneous CO and Dust Modeling of the Most Luminous WISE Hot Dust-Obscured Galaxy Unveils Extreme Molecular Gas Excitation	arXiv	2025	Link
How Worrying Are Privacy Attacks Against Machine Learning?	arXiv	2025	Link
Hybrid Offline-online Scheduling Method for Large Language Model Inference Optimization	arXiv	2025	Link
Hybrid Systolic Array Accelerator with Optimized Dataflow for Edge Large Language Model Inference	arXiv	2025	Link
I Know What You Said: Unveiling Hardware Cache Side-Channels in Local Large Language Model Inference	arXiv	2025	Link
ITERA-LLM: Boosting Sub-8-Bit Large Language Model Inference via Iterative Tensor Decomposition	arXiv	2025	Link
Ideas in Inference-time Scaling can Benefit Generative Pre-training Algorithms	arXiv	2025	Link
Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models	arXiv	2025	Link
Imitative Membership Inference Attack	arXiv	2025	Link
ImpMIA: Leveraging Implicit Bias for Membership Inference Attack	arXiv	2025	Link
Impact of Fine-Tuning Methods on Memorization in Large Language Models	arXiv	2025	Link
Impact of Spectral Coverage on Parameter recovery in Blazar Modeling	arXiv	2025	Link
In-Context Probing for Membership Inference in Fine-Tuned Language Models	arXiv	2025	Link
Inference Attacks for X-Vector Speaker Anonymization	arXiv	2025	Link
Inference Attacks on Encrypted Online Voting via Traffic Analysis	arXiv	2025	Link
Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead	arXiv	2025	Link
Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation	arXiv	2025	Link
Input-Adaptive Visual Preprocessing for Efficient Fast Vision-Language Model Inference	arXiv	2025	Link
InstGenIE: Generative Image Editing Made Efficient with Mask-aware Caching and Scheduling	arXiv	2025	Link
Intelligent Orchestration of Distributed Large Foundation Model Inference at the Edge	arXiv	2025	Link
Interpreting Large Text-to-Image Diffusion Models with Dictionary Learning	arXiv	2025	Link
Izhikevich-Inspired Temporal Dynamics for Enhancing Privacy, Efficiency, and Transferability in Spiking Neural Networks	arXiv	2025	Link
JSTprove: Pioneering Verifiable AI for a Trustless Future	arXiv	2025	Link
Jakiro: Boosting Speculative Decoding with Decoupled Multi-Head via MoE	arXiv	2025	Link
Janus: Disaggregating Attention and Experts for Scalable MoE Inference	arXiv	2025	Link
Joint Optimization of DNN Model Caching and Request Routing in Mobile Edge Computing	arXiv	2025	Link
KCM: KAN-Based Collaboration Models Enhance Pretrained Large Models	arXiv	2025	Link
KVNAND: Efficient On-Device Large Language Model Inference Using DRAM-Free In-Flash Computing	arXiv	2025	Link
Killing it with Zero-Shot: Adversarially Robust Novelty Detection	arXiv	2025	Link
Kolmogorov-Arnold Chemical Reaction Neural Networks for learning pressure-dependent kinetic rate laws	arXiv	2025	Link
Kvasir-VQA-x1: A Multimodal Dataset for Medical Reasoning and Robust MedVQA in Gastrointestinal Endoscopy	arXiv	2025	Link
LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning	arXiv	2025	Link
LExI: Layer-Adaptive Active Experts for Efficient MoE Model Inference	arXiv	2025	Link
LGL-BCI: A Motor-Imagery-Based Brain-Computer Interface with Geometric Learning	arXiv	2025	Link
LIME:Accelerating Collaborative Lossless LLM Inference on Memory-Constrained Edge Devices	arXiv	2025	Link
LLM Jailbreak Detection for (Almost) Free!	arXiv	2025	Link
LLM4Hint: Leveraging Large Language Models for Hint Recommendation in Offline Query Optimization	arXiv	2025	Link
LLaMCAT: Optimizing Large Language Model Inference with Cache Arbitration and Throttling	arXiv	2025	Link
LUMIA: A Handheld Vision-to-Music System for Real-Time, Embodied Composition	arXiv	2025	Link
LUT-LLM: Efficient Large Language Model Inference with Memory-based Computations on FPGAs	arXiv	2025	Link
LaMoSys3.5D: Enabling 3.5D-IC-Based Large Language Model Inference Serving Systems via Hardware/Software Co-Design	arXiv	2025	Link
Label Inference Attacks against Federated Unlearning	arXiv	2025	Link
Labels or Input? Rethinking Augmentation in Multimodal Hate Detection	arXiv	2025	Link
Ladder-residual: parallelism-aware architecture for accelerating large model inference with communication overlapping	arXiv	2025	Link
Large Language Models Inference Engines based on Spiking Neural Networks	arXiv	2025	Link
Latent Noise Injection for Private and Statistically Aligned Synthetic Data Generation	arXiv	2025	Link
LayoutRAG: Retrieval-Augmented Model for Content-agnostic Conditional Layout Generation	arXiv	2025	Link
Learning Smooth State-Dependent Traversability from Dense Point Clouds	arXiv	2025	Link
Learning Turbulent Flows with Generative Models: Super-resolution, Forecasting, and Sparse Flow Reconstruction	arXiv	2025	Link
Learning to Integrate Diffusion ODEs by Averaging the Derivatives	arXiv	2025	Link
Leave No TRACE: Black-box Detection of Copyrighted Dataset Usage in Large Language Models via Watermarking	arXiv	2025	Link
Legal Rule Induction: Towards Generalizable Principle Discovery from Analogous Judicial Precedents	arXiv	2025	Link
Leveraging Compute-in-Memory for Efficient Generative Model Inference in TPUs	arXiv	2025	Link
Lifelong Reinforcement Learning with Similarity-Driven Weighting by Large Models	arXiv	2025	Link
LightCache: Memory-Efficient, Training-Free Acceleration for Video Generation	arXiv	2025	Link
Lightweight Remote Sensing Scene Classification on Edge Devices via Knowledge Distillation and Early-exit	arXiv	2025	Link
LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops	arXiv	2025	Link
LiteVLM: A Low-Latency Vision-Language Model Inference Pipeline for Resource-Constrained Environments	arXiv	2025	Link
Load Balancing with Network Latencies via Distributed Gradient Descent	arXiv	2025	Link
Long-VITA: Scaling Large Multi-modal Models to 1 Million Tokens with Leading Short-Context Accuracy	arXiv	2025	Link
Lorica: A Synergistic Fine-Tuning Framework for Advancing Personalized Adversarial Robustness	arXiv	2025	Link
Luxical: High-Speed Lexical-Dense Text Embeddings	arXiv	2025	Link
MACPruning: Dynamic Operation Pruning to Mitigate Side-Channel DNN Model Extraction	arXiv	2025	Link
MASIV: Toward Material-Agnostic System Identification from Videos	arXiv	2025	Link
MASSV: Multimodal Adaptation and Self-Data Distillation for Speculative Decoding of Vision-Language Models	arXiv	2025	Link
MCMC for Bayesian estimation of Differential Privacy from Membership Inference Attacks	arXiv	2025	Link
MIA-EPT: Membership Inference Attack via Error Prediction for Tabular Data	arXiv	2025	Link
ML-SpecQD: Multi-Level Speculative Decoding with Quantized Drafts	arXiv	2025	Link
MONICA: Real-Time Monitoring and Calibration of Chain-of-Thought Sycophancy in Large Reasoning Models	arXiv	2025	Link
MTR-DuplexBench: Towards a Comprehensive Evaluation of Multi-Round Conversations for Full-Duplex Speech Language Models	arXiv	2025	Link
MVP-ORAM: a Wait-free Concurrent ORAM for Confidential BFT Storage	arXiv	2025	Link
Machine Learning with Privacy for Protected Attributes	arXiv	2025	Link
Machine Text Detectors are Membership Inference Attacks	arXiv	2025	Link
Machine-learned trends in mirror configurations in the Large Plasma Device	arXiv	2025	Link
MadaKV: Adaptive Modality-Perception KV Cache Eviction for Efficient Multimodal Long-Context Inference	arXiv	2025	Link
Maestro: Learning to Collaborate via Conditional Listwise Policy Optimization for Multi-Agent LLMs	arXiv	2025	Link
Make me an Expert: Distilling from Generalist Black-Box Models into Specialized Models for Semantic Segmentation	arXiv	2025	Link
Masked Symbol Modeling for Demodulation of Oversampled Baseband Communication Signals in Impulsive Noise-Dominated Channels	arXiv	2025	Link
Matrix-Driven Identification and Reconstruction of LLM Weight Homology	arXiv	2025	Link
Maximum entropy models of neuronal populations at and off criticality	arXiv	2025	Link
Measuring Soft Biometric Leakage in Speaker De-Identification Systems	arXiv	2025	Link
MediRound: Multi-Round Entity-Level Reasoning Segmentation in Medical Images	arXiv	2025	Link
Membership Inference Attack Should Move On to Distributional Statistics for Distilled Generative Models	arXiv	2025	Link
Membership Inference Attack against Large Language Model-based Recommendation Systems: A New Distillation-based Paradigm	arXiv	2025	Link
Membership Inference Attack with Partial Features	arXiv	2025	Link
Membership Inference Attacks Against Vision-Language Models	arXiv	2025	Link
Membership Inference Attacks Beyond Overfitting	arXiv	2025	Link
Membership Inference Attacks for Face Images Against Fine-Tuned Latent Diffusion Models	arXiv	2025	Link
Membership Inference Attacks for Unseen Classes	arXiv	2025	Link
Membership Inference Attacks on LLM-based Recommender Systems	arXiv	2025	Link
Membership Inference Attacks on Large-Scale Models: A Survey	arXiv	2025	Link
Membership Inference Attacks on Recommender System: A Survey	arXiv	2025	Link
Membership Inference Attacks on Tokenizers of Large Language Models	arXiv	2025	Link
Membership Inference Attacks with False Discovery Rate Control	arXiv	2025	Link
Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study	arXiv	2025	Link
Membership Inference over Diffusion-models-based Synthetic Tabular Data	arXiv	2025	Link
Membership and Dataset Inference Attacks on Large Audio Generative Models	arXiv	2025	Link
Memorization in Fine-Tuned Large Language Models	arXiv	2025	Link
Memory Offloading for Large Language Model Inference with Latency SLO Guarantees	arXiv	2025	Link
Meta-Learning for Speeding Up Large Model Inference in Decentralized Environments	arXiv	2025	Link
Metric Privacy in Federated Learning for Medical Imaging: Improving Convergence and Preventing Client Inference Attacks	arXiv	2025	Link
Metrics and evaluations for computational and sustainable AI efficiency	arXiv	2025	Link
Mirage Persistent Kernel: A Compiler and Runtime for Mega-Kernelizing Tensor Programs	arXiv	2025	Link
Mitigating Membership Inference Vulnerability in Personalized Federated Learning	arXiv	2025	Link
MoEcho: Exploiting Side-Channel Attacks to Compromise User Privacy in Mixture-of-Experts LLMs	arXiv	2025	Link
MoIRA: Modular Instruction Routing Architecture for Multi-Task Robotics	arXiv	2025	Link
Model inference for ranking from pairwise comparisons	arXiv	2025	Link
Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations	arXiv	2025	Link
MrM: Black-Box Membership Inference Attacks against Multimodal RAG Systems	arXiv	2025	Link
Multi-Robot Data-Free Continual Communicative Learning (CCL) from Black-Box Visual Place Recognition Models	arXiv	2025	Link
Multimodal Remote Inference	arXiv	2025	Link
NOVO: Unlearning-Compliant Vision Transformers	arXiv	2025	Link
Native Fortran Implementation of TensorFlow-Trained Deep and Bayesian Neural Networks	arXiv	2025	Link
NeCTAr: A Heterogeneous RISC-V SoC for Language Model Inference in Intel 16	arXiv	2025	Link
Network-Level Prompt and Trait Leakage in Local Research Agents	arXiv	2025	Link
Neuromorphic Intelligence	arXiv	2025	Link
New Machine Learning Approaches for Intrusion Detection in ADS-B	arXiv	2025	Link
NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation	arXiv	2025	Link
Noise Aggregation Analysis Driven by Small-Noise Injection: Efficient Membership Inference for Diffusion Models	arXiv	2025	Link
NuWa: Deriving Lightweight Task-Specific Vision Transformers for Edge Devices	arXiv	2025	Link
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models	arXiv	2025	Link
OPUS-VFL: Incentivizing Optimal Privacy-Utility Tradeoffs in Vertical Federated Learning	arXiv	2025	Link
ObfusBFA: A Holistic Approach to Safeguarding DNNs from Different Types of Bit-Flip Attacks	arXiv	2025	Link
On Membership Inference Attacks in Knowledge Distillation	arXiv	2025	Link
On Soft Clustering For Correlation Estimators	arXiv	2025	Link
On the Effectiveness of Membership Inference in Targeted Data Extraction from Large Language Models	arXiv	2025	Link
On the Fundamental Impossibility of Hallucination Control in Large Language Models	arXiv	2025	Link
On the Inference (In-)Security of Vertical Federated Learning: Efficient Auditing against Inference Tampering Attack	arXiv	2025	Link
On the Partitioning of GPU Power among Multi-Instances	arXiv	2025	Link
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis	arXiv	2025	Link
On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile Devices	arXiv	2025	Link
OpenLVLM-MIA: A Controlled Benchmark Revealing the Limits of Membership Inference Attacks on Large Vision-Language Models	arXiv	2025	Link
Optimizing Agentic Language Model Inference via Speculative Tool Calls	arXiv	2025	Link
Optimizing Canaries for Privacy Auditing with Metagradient Descent	arXiv	2025	Link
Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing	arXiv	2025	Link
Optimizing Storage Overhead of User Behavior Log for ML-embedded Mobile Apps	arXiv	2025	Link
Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner	arXiv	2025	Link
P-MIA: A Profiled-Based Membership Inference Attack on Cognitive Diagnosis Models	arXiv	2025	Link
PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference	arXiv	2025	Link
PPipe: Efficient Video Analytics Serving on Heterogeneous GPU Clusters via Pool-Based Pipeline Parallelism	arXiv	2025	Link
PRIVEE: Privacy-Preserving Vertical Federated Learning Against Feature Inference Attacks	arXiv	2025	Link
PagedEviction: Structured Block-wise KV Cache Pruning for Efficient Large Language Model Inference	arXiv	2025	Link
Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity	arXiv	2025	Link
Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models	arXiv	2025	Link
Permissioned LLMs: Enforcing Access Control in Large Language Models	arXiv	2025	Link
Personal Attribute Leakage in Federated Speech Models	arXiv	2025	Link
Personalized Language Models via Privacy-Preserving Evolutionary Model Merging	arXiv	2025	Link
PipeSpec: Breaking Stage Dependencies in Hierarchical LLM Decoding	arXiv	2025	Link
Planned Diffusion	arXiv	2025	Link
Position-Aware Depth Decay Decoding ($D^3$): Boosting Large Language Model Inference Efficiency	arXiv	2025	Link
Position: Privacy Is Not Just Memorization!	arXiv	2025	Link
Practical Bayes-Optimal Membership Inference Attacks	arXiv	2025	Link
Practical Framework for Privacy-Preserving and Byzantine-robust Federated Learning	arXiv	2025	Link
Pre-Forgettable Models: Prompt Learning as a Native Mechanism for Unlearning	arXiv	2025	Link
Predictive posteriors under hidden confounding	arXiv	2025	Link
Preserving Privacy Without Compromising Accuracy: Machine Unlearning for Handwritten Text Recognition	arXiv	2025	Link
Prior-based Noisy Text Data Filtering: Fast and Strong Alternative For Perplexity	arXiv	2025	Link
PrivSpike: Employing Homomorphic Encryption for Private Inference of Deep Spiking Neural Networks	arXiv	2025	Link
PrivaDE: Privacy-preserving Data Evaluation for Blockchain-based Data Marketplaces	arXiv	2025	Link
Privacy Auditing of Multi-domain Graph Pre-trained Model under Membership Inference Attacks	arXiv	2025	Link
Privacy Risks in Time Series Forecasting: User- and Record-Level Membership Inference	arXiv	2025	Link
Privacy-Preserving Anonymization of System and Network Event Logs Using Salt-Based Hashing and Temporal Noise	arXiv	2025	Link
Privacy-Preserving Federated Learning from Partial Decryption Verifiable Threshold Multi-Client Functional Encryption	arXiv	2025	Link
Privacy-Preserving Inference for Quantized BERT Models	arXiv	2025	Link
Privacy-Preserving Tabular Synthetic Data Generation Using TabularARGN	arXiv	2025	Link
Privacy-Utility Trade-off in Data Publication: A Bilevel Optimization Framework with Curvature-Guided Perturbation	arXiv	2025	Link
Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models	arXiv	2025	Link
PrivacyGo: Privacy-Preserving Ad Measurement with Multidimensional Intersection	arXiv	2025	Link
PrivacyGuard: A Modular Framework for Privacy Auditing in Machine Learning	arXiv	2025	Link
PrivateXR: Defending Privacy Attacks in Extended Reality Through Explainable AI-Guided Differential Privacy	arXiv	2025	Link
Probing forced responses and causality in data-driven climate emulators: conceptual limitations and the role of reduced-order models	arXiv	2025	Link
Probing the origins. I. Generalised Additive Model inference of birth radii for Milky Way stars in the solar vicinity	arXiv	2025	Link
Processing of synthetic data in AI development for healthcare and the definition of personal data in EU law	arXiv	2025	Link
Profiling Large Language Model Inference on Apple Silicon: A Quantization Perspective	arXiv	2025	Link
Prompt Inference Attack on Distributed Large Language Model Inference Frameworks	arXiv	2025	Link
PromptDistill: Query-based Selective Token Retention in Intermediate Layers for Efficient Large Language Model Inference	arXiv	2025	Link
ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs	arXiv	2025	Link
Pruning as a Defense: Reducing Memorization in Large Language Models	arXiv	2025	Link
Pseudo-Label Enhanced Cascaded Framework: 2nd Technical Report for LSVOS 2025 VOS Track	arXiv	2025	Link
Psi-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models	arXiv	2025	Link
Pushing the Envelope of LLM Inference on AI-PC and Intel GPUs	arXiv	2025	Link
QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search	arXiv	2025	Link
QLENS: Towards A Quantum Perspective of Language Transformers	arXiv	2025	Link
R.R.: Unveiling LLM Training Privacy through Recollection and Ranking	arXiv	2025	Link
RADAR: Accelerating Large Language Model Inference With RL-Based Dynamic Draft Trees	arXiv	2025	Link
RAID: An In-Training Defense against Attribute Inference Attacks in Recommender Systems	arXiv	2025	Link
RAM-NAS: Resource-aware Multiobjective Neural Architecture Search Method for Robot Vision Tasks	arXiv	2025	Link
RETENTION: Resource-Efficient Tree-Based Ensemble Model Acceleration with Content-Addressable Memory	arXiv	2025	Link
RL-Finetuned LLMs for Privacy-Preserving Synthetic Rewriting	arXiv	2025	Link
RRTO: A High-Performance Transparent Offloading System for Model Inference in Mobile Edge Computing	arXiv	2025	Link
RainFusion2.0: Temporal-Spatial Awareness and Hardware-Efficient Block-wise Sparse Attention	arXiv	2025	Link
ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-Based Fault Tolerance	arXiv	2025	Link
Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel	arXiv	2025	Link
Reasoning Language Model Inference Serving Unveiled: An Empirical Study	arXiv	2025	Link
RecPS: Privacy Risk Scoring for Recommender Systems	arXiv	2025	Link
Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective	arXiv	2025	Link
RedVTP: Training-Free Acceleration of Diffusion Vision-Language Models Inference via Masked Token-Guided Visual Token Pruning	arXiv	2025	Link
Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach	arXiv	2025	Link
Reference Recommendation based Membership Inference Attack against Hybrid-based Recommender Systems	arXiv	2025	Link
RepSNet: A Nucleus Instance Segmentation model based on Boundary Regression and Structural Re-parameterization	arXiv	2025	Link
Rethinking Membership Inference Attacks Against Transfer Learning	arXiv	2025	Link
Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors	arXiv	2025	Link
Retrieval Augmented Anomaly Detection (RAAD): Nimble Model Adjustment Without Retraining	arXiv	2025	Link
Retrieval-Augmented Few-Shot Prompting Versus Fine-Tuning for Code Vulnerability Detection	arXiv	2025	Link
Reuse, Don't Recompute: Efficient Large Reasoning Model Inference via Memory Orchestration	arXiv	2025	Link
Revisiting the attacker's knowledge in inference attacks against Searchable Symmetric Encryption	arXiv	2025	Link
Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation	arXiv	2025	Link
RoTO: Robust Topology Obfuscation Against Tomography Inference Attacks	arXiv	2025	Link
Running VLAs at Real-time Speed	arXiv	2025	Link
SCI-Reason: A Dataset with Chain-of-Thought Rationales for Complex Multimodal Reasoning in Academic Areas	arXiv	2025	Link
SHARP: Accelerating Language Model Inference by SHaring Adjacent layers with Recovery Parameters	arXiv	2025	Link
SLO-Aware Scheduling for Large Language Model Inferences	arXiv	2025	Link
SP-MoE: Speculative Decoding and Prefetching for Accelerating MoE-based Model Inference	arXiv	2025	Link
SPIN: Accelerating Large Language Model Inference with Heterogeneous Speculative Models	arXiv	2025	Link
SQ-DM: Accelerating Diffusion Models with Aggressive Quantization and Temporal Sparsity	arXiv	2025	Link
SR-LLM: Rethinking the Structured Representation in Large Language Model	arXiv	2025	Link
STADI: Fine-Grained Step-Patch Diffusion Parallelism for Heterogeneous GPUs	arXiv	2025	Link
STAR: Stage-Wise Attention-Guided Token Reduction for Efficient Large Vision-Language Models Inference	arXiv	2025	Link
STree: Speculative Tree Decoding for Hybrid State-Space Models	arXiv	2025	Link
SVAFD: A Secure and Verifiable Co-Aggregation Protocol for Federated Distillation	arXiv	2025	Link
SafeSteer: Adaptive Subspace Steering for Efficient Jailbreak Defense in Vision-Language Models	arXiv	2025	Link
Safeguarding Federated Learning-based Road Condition Classification	arXiv	2025	Link
Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home?	arXiv	2025	Link
Sample Complexity of Branch-length Estimation by Maximum Likelihood	arXiv	2025	Link
Scaling LLM Speculative Decoding: Non-Autoregressive Forecasting in Large-Batch Scenarios	arXiv	2025	Link
Scaling Laws for Energy Efficiency of Local LLMs	arXiv	2025	Link
Score-based Membership Inference on Diffusion Models	arXiv	2025	Link
SeaLLM: Service-Aware and Latency-Optimized Resource Sharing for Large Language Model Inference	arXiv	2025	Link
Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption	arXiv	2025	Link
Secure Federated Data Distillation	arXiv	2025	Link
Secure and Explainable Fraud Detection in Finance via Hierarchical Multi-source Dataset Distillation	arXiv	2025	Link
SecureInfer: Heterogeneous TEE-GPU Architecture for Privacy-Critical Tensors for Large Language Model Deployment	arXiv	2025	Link
Securing Genomic Data Against Inference Attacks in Federated Learning Environments	arXiv	2025	Link
Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators	arXiv	2025	Link
Security Logs to ATT&CK Insights: Leveraging LLMs for High-Level Threat Understanding and Cognitive Trait Inference	arXiv	2025	Link
Set Block Decoding is a Language Model Inference Accelerator	arXiv	2025	Link
Sharpness-Aware Machine Unlearning	arXiv	2025	Link
Simple Radiology VLLM Test-time Scaling with Thought Graph Traversal	arXiv	2025	Link
Simulating Cyberattacks through a Breach Attack Simulation (BAS) Platform empowered by Security Chaos Engineering (SCE)	arXiv	2025	Link
Simulations in Statistical Workflows	arXiv	2025	Link
Single-Trajectory Bayesian Modeling Reveals Multi-State Diffusion of the MSH Sliding Clamp	arXiv	2025	Link
SlicerNNInteractive: A 3D Slicer extension for nnInteractive	arXiv	2025	Link
SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation	arXiv	2025	Link
Social World Model-Augmented Mechanism Design Policy Learning	arXiv	2025	Link
Sometimes Painful but Certainly Promising: Feasibility and Trade-offs of Language Model Inference at the Edge	arXiv	2025	Link
Sparse-to-Sparse Training of Diffusion Models	arXiv	2025	Link
Spatiotemporal graph neural process for reconstruction, extrapolation, and classification of cardiac trajectories	arXiv	2025	Link
SpeCa: Accelerating Diffusion Transformers with Speculative Feature Caching	arXiv	2025	Link
SpecDiff: Accelerating Diffusion Model Inference with Self-Speculation	arXiv	2025	Link
SpecEE: Accelerating Large Language Model Inference with Speculative Early Exiting	arXiv	2025	Link
SpecMemo: Speculative Decoding is in Your Pocket	arXiv	2025	Link
SpecPipe: Accelerating Pipeline Parallelism-based LLM Inference with Speculative Decoding	arXiv	2025	Link
SpecPrune-VLA: Accelerating Vision-Language-Action Models via Action-Aware Self-Speculative Pruning	arXiv	2025	Link
Spectra 1.1: Scaling Laws and Efficient Inference for Ternary Language Models	arXiv	2025	Link
Speculative Sampling via Exponential Races	arXiv	2025	Link
SpeedLLM: An FPGA Co-design of Large Language Model Inference Accelerator	arXiv	2025	Link
Sphinx: Efficiently Serving Novel View Synthesis using Regression-Guided Selective Refinement	arXiv	2025	Link
Starting Positions Matter: A Study on Better Weight Initialization for Neural Network Quantization	arXiv	2025	Link
Static Batching of Irregular Workloads on GPUs: Framework and Application to Efficient MoE Model Inference	arXiv	2025	Link
Steering Pretrained Drafters during Speculative Decoding	arXiv	2025	Link
Structural Embedding Projection for Contextual Large Language Model Inference	arXiv	2025	Link
Suboptimal Shapley Value Explanations	arXiv	2025	Link
Surprise Calibration for Better In-Context Learning	arXiv	2025	Link
SynBench: A Benchmark for Differentially Private Text Generation	arXiv	2025	Link
T-REX: A 68-567 μs/token, 0.41-3.95 μJ/token Transformer Accelerator with Reduced External Memory Access and Enhanced Hardware Utilization in 16nm FinFET	arXiv	2025	Link
TAMIS: Tailored Membership Inference Attacks on Synthetic Data	arXiv	2025	Link
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning	arXiv	2025	Link
TCM-5CEval: Extended Deep Evaluation Benchmark for LLM's Comprehensive Clinical Research Competence in Traditional Chinese Medicine	arXiv	2025	Link
THEMIS: Towards Practical Intellectual Property Protection for Post-Deployment On-Device Deep Learning Models	arXiv	2025	Link
TROLL: Trust Regions improve Reinforcement Learning for Large Language Models	arXiv	2025	Link
TVineSynth: A Truncated C-Vine Copula Generator of Synthetic Tabular Data to Balance Privacy and Utility	arXiv	2025	Link
Tab-MIA: A Benchmark Dataset for Membership Inference Attacks on Tabular Data in LLMs	arXiv	2025	Link
Targeted Manipulation: Slope-Based Attacks on Financial Time-Series Data	arXiv	2025	Link
Technical Report for the Forgotten-by-Design Project: Targeted Obfuscation for Machine Learning	arXiv	2025	Link
TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks	arXiv	2025	Link
Tensor State Space-based Dynamic Multilayer Network Modeling	arXiv	2025	Link
TensorShield: Safeguarding On-Device Inference by Shielding Critical DNN Tensors with TEE	arXiv	2025	Link
The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text	arXiv	2025	Link
The Dead Salmons of AI Interpretability	arXiv	2025	Link
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit	arXiv	2025	Link
The Epistemic Support-Point Filter (ESPF): A Bounded Possibilistic Framework for Ordinal State Estimation	arXiv	2025	Link
The Hidden Cost of Modeling P(X): Vulnerability to Membership Inference Attacks in Generative Text Classifiers	arXiv	2025	Link
The Impact of Orbital Anisotropy Assumptions in Lensing-Dynamics Modeling	arXiv	2025	Link
The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data	arXiv	2025	Link
The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks	arXiv	2025	Link
The Right to be Forgotten in Pruning: Unveil Machine Unlearning on Sparse Models	arXiv	2025	Link
The Sample Complexity of Membership Inference and Privacy Auditing	arXiv	2025	Link
The Tail Tells All: Estimating Model-Level Membership Inference Vulnerability Without Reference Models	arXiv	2025	Link
The Two-Zone Temperature Distribution Model: Inferences on the Structure and Composition of Dusty Protoplanetary Disks	arXiv	2025	Link
The Use of Variational Inference for Lifetime Data with Spatial Correlations	arXiv	2025	Link
The slope and scatter of the star forming main sequence at z~5 : reconciling observations with simulations	arXiv	2025	Link
Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models	arXiv	2025	Link
Tight and Practical Privacy Auditing for Differentially Private In-Context Learning	arXiv	2025	Link
TokenSim: Enabling Hardware and Software Exploration for Large Language Model Inference Systems	arXiv	2025	Link
Tokens for Learning, Tokens for Unlearning: Mitigating Membership Inference Attacks in Large Language Models via Dual-Purpose Training	arXiv	2025	Link
Tool Unlearning for Tool-Augmented LLMs	arXiv	2025	Link
Tortoise and Hare Guidance: Accelerating Diffusion Model Inference with Multirate Integration	arXiv	2025	Link
Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts	arXiv	2025	Link
Toward Informed AV Decision-Making: Computational Model of Well-being and Trust in Mobility	arXiv	2025	Link
Toward Reliable Machine Unlearning: Theory, Algorithms, and Evaluation	arXiv	2025	Link
Towards Confidential and Efficient LLM Inference with Dual Privacy Protection	arXiv	2025	Link
Towards Efficient Agents: A Co-Design of Inference Architecture and System	arXiv	2025	Link
Towards Intelligent Systems for Battery Management: A Five-Tier Digital Twin Architecture	arXiv	2025	Link
Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models	arXiv	2025	Link
Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness	arXiv	2025	Link
Towards Repository-Level Program Verification with Large Language Models	arXiv	2025	Link
Towards Robust Universal Information Extraction: Benchmark, Evaluation, and Solution	arXiv	2025	Link
Towards Theoretical Understanding of Transformer Test-Time Computing: Investigation on In-Context Linear Regression	arXiv	2025	Link
TraceHiding: Scalable Machine Unlearning for Mobility Data	arXiv	2025	Link
Training and Evaluation of Guideline-Based Medical Reasoning in LLMs	arXiv	2025	Link
Training data membership inference via Gaussian process meta-modeling: a post-hoc analysis approach	arXiv	2025	Link
Trinity: Disaggregating Vector Search from Prefill-Decode Disaggregation in LLM Serving	arXiv	2025	Link
Trustworthy AI: Safety, Bias, and Privacy -- A Survey	arXiv	2025	Link
Trustworthy Tree-based Machine Learning by $MoS_2$ Flash-based Analog CAM with Inherent Soft Boundaries	arXiv	2025	Link
Tuning without Peeking: Provable Generalization Bounds and Robust LLM Post-Training	arXiv	2025	Link
Ultrafast Pulse Retrieval from Partial FROG Traces Using Implicit Diffusion Models	arXiv	2025	Link
Uncertainties in Physics-informed Inverse Problems: The Hidden Risk in Scientific AI	arXiv	2025	Link
Uncovering Pretraining Code in LLMs: A Syntax-Aware Attribution Approach	arXiv	2025	Link
Understanding the Impact of Data Domain Extraction on Synthetic Data Privacy	arXiv	2025	Link
Unifying Two Types of Scaling Laws from the Perspective of Conditional Kolmogorov Complexity	arXiv	2025	Link
Unlearning Clients, Features and Samples in Vertical Federated Learning	arXiv	2025	Link
Unlearning Comparator: A Visual Analytics System for Comparative Evaluation of Machine Unlearning Methods	arXiv	2025	Link
Unraveling the temporal dependence of ecological interaction measures	arXiv	2025	Link
Unsupervised full-field Bayesian inference of orthotropic hyperelasticity from a single biaxial test: a myocardial case study	arXiv	2025	Link
VACoT: Rethinking Visual Data Augmentation with VLMs	arXiv	2025	Link
VDOT: Efficient Unified Video Creation via Optimal Transport Distillation	arXiv	2025	Link
VLA-RAIL: A Real-Time Asynchronous Inference Linker for VLA Models and Robots	arXiv	2025	Link
VMask: Tunable Label Privacy Protection for Vertical Federated Learning via Layer Masking	arXiv	2025	Link
Validating the 1D-3D coupling stellar models via Asteroseismology of 18 Kepler main-sequence stars	arXiv	2025	Link
Verifying LLM Inference to Detect Model Weight Exfiltration	arXiv	2025	Link
Vid-SME: Membership Inference Attacks against Large Video Understanding Models	arXiv	2025	Link
Vision-based 3D Semantic Scene Completion via Capture Dynamic Representations	arXiv	2025	Link
Visual hallucination detection in large vision-language models via evidential conflict	arXiv	2025	Link
Voice Privacy Preservation with Multiple Random Orthogonal Secret Keys: Attack Resistance Analysis	arXiv	2025	Link
WINA: Weight Informed Neuron Activation for Accelerating Large Language Model Inference	arXiv	2025	Link
WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection	arXiv	2025	Link
WaferLLM: Large Language Model Inference at Wafer Scale	arXiv	2025	Link
Waging a Campaign: Results from an Injection-Recovery Study involving 35 numerical Relativity Simulations and three Waveform Models	arXiv	2025	Link
Weight-based Analysis of Detokenization in Language Models: Understanding the First Stage of Inference Without Inference	arXiv	2025	Link
Whispers of Data: Unveiling Label Distributions in Federated Learning Through Virtual Client Simulation	arXiv	2025	Link
Who Can See Through You? Adversarial Shielding Against VLM-Based Attribute Inference Attacks	arXiv	2025	Link
Who Owns This Sample: Cross-Client Membership Inference Attack in Federated Graph Neural Networks	arXiv	2025	Link
WiFinger: Fingerprinting Noisy IoT Event Traffic Using Packet-level Sequence Matching	arXiv	2025	Link
Win-k: Improved Membership Inference Attacks on Small Language Models	arXiv	2025	Link
Winning the MIDST Challenge: New Membership Inference Attacks on Diffusion Models for Tabular Data Synthesis	arXiv	2025	Link
Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning	arXiv	2025	Link
Your Image Generator Is Your New Private Dataset	arXiv	2025	Link
ZAPS: A Zero-Knowledge Proof Protocol for Secure UAV Authentication with Flight Path Privacy	arXiv	2025	Link
ZKTorch: Compiling ML Inference to Zero-Knowledge Proofs via Parallel Proof Accumulation	arXiv	2025	Link
Zero-Knowledge Proof Based Verifiable Inference of Models	arXiv	2025	Link
eMoE: Task-aware Memory Efficient Mixture-of-Experts-Based (MoE) Model Inference	arXiv	2025	Link
λScale: Enabling Fast Scaling for Serverless Large Language Model Inference	arXiv	2025	Link

2024

Title	Venue	Year	Link
$\nabla τ$: Gradient-based and Task-Agnostic machine Unlearning	arXiv	2024	Link
$ε$-Policy Gradient for Online Pricing	arXiv	2024	Link
A Differentially Private Kaplan-Meier Estimator for Privacy-Preserving Survival Analysis	arXiv	2024	Link
A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures	arXiv	2024	Link
A Game-Theoretic Approach to Privacy-Utility Tradeoff in Sharing Genomic Summary Statistics	arXiv	2024	Link
A Method for Building Large Language Models with Predefined KV Cache Capacity	arXiv	2024	Link
A Novel Buffered Federated Learning Framework for Privacy-Driven Anomaly Detection in IIoT	arXiv	2024	Link
A Reliable Cryptographic Framework for Empirical Machine Unlearning Evaluation	arXiv	2024	Link
A Scene-aware Models Adaptation Scheme for Cross-scene Online Inference on Mobile Devices	arXiv	2024	Link
A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models	arXiv	2024	Link
A Survey on Private Transformer Inference	arXiv	2024	Link
A Theoretical Perspective for Speculative Decoding Algorithm	arXiv	2024	Link
A Training Rate and Survival Heuristic for Inference and Robustness Evaluation (TRASHFIRE)	arXiv	2024	Link
A Unified Hallucination Mitigation Framework for Large Vision-Language Models	arXiv	2024	Link
A Wearable Multi-Modal Edge-Computing System for Real-Time Kitchen Activity Recognition	arXiv	2024	Link
A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location Data	arXiv	2024	Link
A feature refinement module for light-weight semantic segmentation network	arXiv	2024	Link
A hybrid iterative method based on MIONet for PDEs: Theory and numerical examples	arXiv	2024	Link
A parallel framework for graphical optimal transport	arXiv	2024	Link
A spatial-correlated multitask linear mixed-effects model for imaging genetics	arXiv	2024	Link
A sub-Earth-mass planet orbiting Barnard's star: No evidence of transits in TESS photometry	arXiv	2024	Link
AERO: Entropy-Guided Framework for Private LLM Inference	arXiv	2024	Link
AI Flow at the Network Edge	arXiv	2024	Link
ALISA: Accelerating Large Language Model Inference via Sparsity-Aware KV Caching	arXiv	2024	Link
Accelerating Large Language Model Inference with Self-Supervised Early Exits	arXiv	2024	Link
Accelerating a Triton Fused Kernel for W4A16 Quantized Inference with SplitK work decomposition	arXiv	2024	Link
Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning	arXiv	2024	Link
Achieving Faster and More Accurate Operation of Deep Predictive Learning	arXiv	2024	Link
Activations and Gradients Compression for Model-Parallel Training	arXiv	2024	Link
Active-Passive Federated Learning for Vertically Partitioned Multi-view Data	arXiv	2024	Link
Adaptive Interactive Segmentation for Multimodal Medical Imaging via Selection Engine	arXiv	2024	Link
Adaptive Pre-training Data Detection for Large Language Models via Surprising Tokens	arXiv	2024	Link
Adaptive Query Prompting for Multi-Domain Landmark Detection	arXiv	2024	Link
Adversarial Attacks on Data Attribution	arXiv	2024	Link
Adversarial Machine Unlearning	arXiv	2024	Link
AlignedKV: Reducing Memory Access of KV-Cache with Precision-Aligned Quantization	arXiv	2024	Link
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration	arXiv	2024	Link
An Efficient Rehearsal Scheme for Catastrophic Forgetting Mitigation during Multi-stage Fine-tuning	arXiv	2024	Link
An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Language Model Inference	arXiv	2024	Link
An Information Theoretic Evaluation Metric For Strong Unlearning	arXiv	2024	Link
An Integrated Artificial Intelligence Operating System for Advanced Low-Altitude Aviation Applications	arXiv	2024	Link
Assisting humans in complex comparisons: automated information comparison at scale	arXiv	2024	Link
Attack End-to-End Autonomous Driving through Module-Wise Noise	arXiv	2024	Link
Auditing Privacy Mechanisms via Label Inference Attacks	arXiv	2024	Link
Automated Inference of Graph Transformation Rules	arXiv	2024	Link
Automated Multi-Language to English Machine Translation Using Generative Pre-Trained Transformers	arXiv	2024	Link
Automated Test-Case Generation for REST APIs Using Model Inference Search Heuristic	arXiv	2024	Link
Bayes-Nash Generative Privacy Against Membership Inference Attacks	arXiv	2024	Link
Bayesian Inference of Time-Varying Origin-Destination Matrices from Boarding/Alighting Counts for Transit Services	arXiv	2024	Link
Bayesian optimal design accelerates discovery of material properties from bubble dynamics	arXiv	2024	Link
BeniFul: Backdoor Defense via Middle Feature Analysis for Deep Neural Networks	arXiv	2024	Link
Bifurcated Attention: Accelerating Massively Parallel Decoding with Shared Prefixes in LLMs	arXiv	2024	Link
Blind Baselines Beat Membership Inference Attacks for Foundation Models	arXiv	2024	Link
BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices	arXiv	2024	Link
Boosting Gaze Object Prediction via Pixel-level Supervision from Vision Foundation Model	arXiv	2024	Link
Building a Domain-specific Guardrail Model in Production	arXiv	2024	Link
ByteEdit: Boost, Comply and Accelerate Generative Image Editing	arXiv	2024	Link
CATP: Cross-Attention Token Pruning for Accuracy Preserved Multimodal Model Inference	arXiv	2024	Link
CDI: Copyrighted Data Identification in Diffusion Models	arXiv	2024	Link
CI-Bench: Benchmarking Contextual Integrity of AI Assistants on Synthetic Data	arXiv	2024	Link
CLMIA: Membership Inference Attacks via Unsupervised Contrastive Learning	arXiv	2024	Link
CORM: Cache Optimization with Recent Message for Large Language Model Inference	arXiv	2024	Link
CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion	arXiv	2024	Link
CTC Blank Triggered Dynamic Layer-Skipping for Efficient CTC-based Speech Recognition	arXiv	2024	Link
CUPID: A Real-Time Session-Based Reciprocal Recommendation System for a One-on-One Social Discovery Platform	arXiv	2024	Link
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?	arXiv	2024	Link
Cascaded Prediction and Asynchronous Execution of Iterative Algorithms on Heterogeneous Platforms	arXiv	2024	Link
Center-Based Relaxed Learning Against Membership Inference Attacks	arXiv	2024	Link
Characterizing and Efficiently Accelerating Multimodal Generation Model Inference	arXiv	2024	Link
Chernoff Information as a Privacy Constraint for Adversarial Classification and Membership Advantage	arXiv	2024	Link
Chimera: A Lossless Decoding Method for Accelerating Large Language Models Inference by Fusing all Tokens	arXiv	2024	Link
Clinical Validation of a Real-Time Machine Learning-based System for the Detection of Acute Myeloid Leukemia by Flow Cytometry	arXiv	2024	Link
Cluster-robust jackknife and bootstrap inference for logistic regression models	arXiv	2024	Link
Comprehensive Evaluation of Multimodal AI Models in Medical Imaging Diagnosis: From Data Augmentation to Preference-Based Comparison	arXiv	2024	Link
ConDa: Fast Federated Unlearning with Contribution Dampening	arXiv	2024	Link
Constraining the physical properties of large-scale jets from black hole X-ray binaries and their impact on the local environment with blast-wave dynamical models	arXiv	2024	Link
Context Parallelism for Scalable Million-Token Inference	arXiv	2024	Link
Context-Aware Membership Inference Attacks against Pre-trained Large Language Models	arXiv	2024	Link
Contextualizing Security and Privacy of Software-Defined Vehicles: State of the Art and Industry Perspectives	arXiv	2024	Link
Continuous Speculative Decoding for Autoregressive Image Generation	arXiv	2024	Link
Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density	arXiv	2024	Link
CoreInfer: Accelerating Large Language Model Inference with Semantics-Inspired Adaptive Sparse Activation	arXiv	2024	Link
Correlation Clustering of Organoid Images	arXiv	2024	Link
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature	arXiv	2024	Link
DP-TLDM: Differentially Private Tabular Latent Diffusion Model	arXiv	2024	Link
Data Contamination Calibration for Black-box LLMs	arXiv	2024	Link
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models	arXiv	2024	Link
De-identification is not enough: a comparison between de-identified and synthetic clinical notes	arXiv	2024	Link
DePrompt: Desensitization and Evaluation of Personal Identifiable Information in Large Language Model Prompts	arXiv	2024	Link
Declarative Privacy-Preserving Inference Queries	arXiv	2024	Link
Deep Feature Surgery: Towards Accurate and Efficient Multi-Exit Networks	arXiv	2024	Link
Deep Learning Models in Speech Recognition: Measuring GPU Energy Consumption, Impact of Noise and Model Quantization for Edge Deployment	arXiv	2024	Link
Deep Unlearn: Benchmarking Machine Unlearning for Image Classification	arXiv	2024	Link
Deep hybrid models: infer and plan in a dynamic world	arXiv	2024	Link
Defining 'Good': Evaluation Framework for Synthetic Smart Meter Data	arXiv	2024	Link
Defining and Evaluating Decision and Composite Risk in Language Models Applied to Natural Language Inference	arXiv	2024	Link
Delay Embedding Theory of Neural Sequence Models	arXiv	2024	Link
Denoising OCT Images Using Steered Mixture of Experts with Multi-Model Inference	arXiv	2024	Link
Detecting Training Data of Large Language Models via Expectation Maximization	arXiv	2024	Link
Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity Recognition	arXiv	2024	Link
Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation	arXiv	2024	Link
Discriminative Adversarial Unlearning	arXiv	2024	Link
Disentangled Neural Relational Inference for Interpretable Motion Prediction	arXiv	2024	Link
Disentangling the Roles of Target-Side Transfer and Regularization in Multilingual Machine Translation	arXiv	2024	Link
Distilling Semantic Priors from SAM to Efficient Image Restoration Models	arXiv	2024	Link
Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference	arXiv	2024	Link
Do Membership Inference Attacks Work on Large Language Models?	arXiv	2024	Link
Do Parameters Reveal More than Loss for Membership Inference?	arXiv	2024	Link
Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions	arXiv	2024	Link
Does Faithfulness Conflict with Plausibility? An Empirical Study in Explainable AI across NLP Tasks	arXiv	2024	Link
Don't Look Twice: Faster Video Transformers with Run-Length Tokenization	arXiv	2024	Link
Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and Randomization	arXiv	2024	Link
Dual-Criterion Model Aggregation in Federated Learning: Balancing Data Quantity and Quality	arXiv	2024	Link
Dual-Model Defense: Safeguarding Diffusion Models from Membership Inference Attacks through Disjoint Data Splitting	arXiv	2024	Link
DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling	arXiv	2024	Link
Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation	arXiv	2024	Link
EFCM: Efficient Fine-tuning on Compressed Models for deployment of large models in medical image analysis	arXiv	2024	Link
EOV-Seg: Efficient Open-Vocabulary Panoptic Segmentation	arXiv	2024	Link
ERCache: An Efficient and Reliable Caching Framework for Large-Scale User Representations in Meta's Ads System	arXiv	2024	Link
EasyJudge: an Easy-to-use Tool for Comprehensive Response Evaluation of LLMs	arXiv	2024	Link
Edge Intelligence Optimization for Large Language Model Inference with Batching and Quantization	arXiv	2024	Link
Edge-Enabled Real-time Railway Track Segmentation	arXiv	2024	Link
EdgeRL: Reinforcement Learning-driven Deep Learning Model Inference Optimization at Edge	arXiv	2024	Link
Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning	arXiv	2024	Link
Efficient End-to-End 6-Dof Grasp Detection Framework for Edge Devices with Hierarchical Heatmaps and Feature Propagation	arXiv	2024	Link
Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs	arXiv	2024	Link
Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items	arXiv	2024	Link
Efficient LLM Context Distillation	arXiv	2024	Link
Efficient Single Image Super-Resolution with Entropy Attention and Receptive Field Augmentation	arXiv	2024	Link
Efficient and Accurate Explanation Estimation with Distribution Compression	arXiv	2024	Link
Eliciting Textual Descriptions from Representations of Continuous Prompts	arXiv	2024	Link
Embedding Attack Project (Work Report)	arXiv	2024	Link
Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models	arXiv	2024	Link
EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs	arXiv	2024	Link
EncCluster: Scalable Functional Encryption in Federated Learning through Weight Clustering and Probabilistic Filters	arXiv	2024	Link
Enhancing Attack Resilience in Real-Time Systems through Variable Control Task Sampling Rates	arXiv	2024	Link
Enhancing the Power of Gaussian Graphical Model Inference by Modeling the Graph Structure	arXiv	2024	Link
Evaluating of Machine Unlearning: Robustness Verification Without Prior Modifications	arXiv	2024	Link
Evaluating the Data Model Robustness of Text-to-SQL Systems Based on Real User Queries	arXiv	2024	Link
Explainability Paths for Sustained Artistic Practice with AI	arXiv	2024	Link
Explaining the Model, Protecting Your Data: Revealing and Mitigating the Data Privacy Risks of Post-Hoc Model Explanations via Membership Inference	arXiv	2024	Link
Exploiting Inter-Layer Expert Affinity for Accelerating Mixture-of-Experts Model Inference	arXiv	2024	Link
Exploring Differences between Human Perception and Model Inference in Audio Event Recognition	arXiv	2024	Link
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective	arXiv	2024	Link
Exploring the Limits of Fine-grained LLM-based Physics Inference via Premise Removal Interventions	arXiv	2024	Link
Exploring the Nature of Little Red Dots: Constraints on AGN and Stellar Contributions from PRIMER MIRI Imaging	arXiv	2024	Link
Exponential rate of epidemic spreading on complex networks	arXiv	2024	Link
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment	arXiv	2024	Link
Exposing the Vulnerability of Decentralized Learning to Membership Inference Attacks Through the Lens of Graph Mixing	arXiv	2024	Link
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services	arXiv	2024	Link
FFSplit: Split Feed-Forward Network For Optimizing Accuracy-Efficiency Trade-off in Language Model Inference	arXiv	2024	Link
FRIDA: Free-Rider Detection using Privacy Attacks	arXiv	2024	Link
FTP: A Fine-grained Token-wise Pruner for Large Language Models via Token Routing	arXiv	2024	Link
Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach	arXiv	2024	Link
Fast Adversarial Attacks on Language Models In One GPU Minute	arXiv	2024	Link
FastDraft: How to Train Your Draft	arXiv	2024	Link
Faster Cascades via Speculative Decoding	arXiv	2024	Link
Faster Diffusion Sampling with Randomized Midpoints: Sequential and Parallel	arXiv	2024	Link
Feature Inference Attack on Shapley Values	arXiv	2024	Link
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning	arXiv	2024	Link
FedMPQ: Secure and Communication-Efficient Federated Learning with Multi-codebook Product Quantization	arXiv	2024	Link
Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes	arXiv	2024	Link
Federated Graph Condensation with Information Bottleneck Principles	arXiv	2024	Link
Federated Hypergraph Learning with Local Differential Privacy: Toward Privacy-Aware Hypergraph Structure Completion	arXiv	2024	Link
Feedback-regulated Seed Black Hole Growth in Star-Forming Molecular Clouds and Galactic Nuclei	arXiv	2024	Link
FineGates: LLMs Finetuning with Compression using Stochastic Gates	arXiv	2024	Link
Fingerprint Membership and Identity Inference Against Generative Adversarial Networks	arXiv	2024	Link
First Ly$α$ 1D Bispectrum Measurement in eBOSS	arXiv	2024	Link
Flash Communication: Reducing Tensor Parallelization Bottleneck for Fast Large Language Model Inference	arXiv	2024	Link
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs	arXiv	2024	Link
Flow-DPO: Improving LLM Mathematical Reasoning through Online Multi-Agent Learning	arXiv	2024	Link
Following the Human Thread in Social Navigation	arXiv	2024	Link
Free Record-Level Privacy Risk Evaluation Through Artifact-Based Methods	arXiv	2024	Link
From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers	arXiv	2024	Link
From chiral EFT to perturbative QCD: a Bayesian model mixing approach to symmetric nuclear matter	arXiv	2024	Link
Fully-inductive Node Classification on Arbitrary Graphs	arXiv	2024	Link
Functional-Edged Network Modeling	arXiv	2024	Link
GAZEploit: Remote Keystroke Inference Attack by Gaze Estimation from Avatar Views in VR/MR Devices	arXiv	2024	Link
GLiRA: Black-Box Membership Inference Attack via Knowledge Distillation	arXiv	2024	Link
GQSA: Group Quantization and Sparsity for Accelerating Large Language Model Inference	arXiv	2024	Link
Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data	arXiv	2024	Link
Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented Generation	arXiv	2024	Link
Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct Decoding	arXiv	2024	Link
Gone but Not Forgotten: Improved Benchmarks for Machine Unlearning	arXiv	2024	Link
Governing the Commons: Code Ownership and Code-Clones in Large-Scale Software Development	arXiv	2024	Link
Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation	arXiv	2024	Link
Graph Neural Network for Neutrino Physics Event Reconstruction	arXiv	2024	Link
Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks	arXiv	2024	Link
HM3: Heterogeneous Multi-Class Model Merging	arXiv	2024	Link
HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications	arXiv	2024	Link
HSTFL: A Heterogeneous Federated Learning Framework for Misaligned Spatiotemporal Forecasting	arXiv	2024	Link
Hardware and Software Platform Inference	arXiv	2024	Link
Hash3D: Training-free Acceleration for 3D Generation	arXiv	2024	Link
Hermes: Memory-Efficient Pipeline Inference for Large Models on Edge Devices	arXiv	2024	Link
Heterogeneous Clinical Trial Outcomes via Multi-Output Gaussian Processes	arXiv	2024	Link
Hide in Plain Sight: Clean-Label Backdoor for Auditing Membership Inference	arXiv	2024	Link
I Still See You: Why Existing IoT Traffic Reshaping Fails	arXiv	2024	Link
IDT: Dual-Task Adversarial Attacks for Privacy Protection	arXiv	2024	Link
Identification of Settling Velocity with Physics Informed Neural Networks For Sediment Laden Flows	arXiv	2024	Link
Identity-Focused Inference and Extraction Attacks on Diffusion Models	arXiv	2024	Link
Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning	arXiv	2024	Link
Impact of ML Optimization Tactics on Greener Pre-Trained ML Models	arXiv	2024	Link
Implicit Personalization in Language Models: A Systematic Study	arXiv	2024	Link
Incorporating additional evidence as prior information to resolve non-identifiability in Bayesian disease model calibration. A tutorial	arXiv	2024	Link
Inducing Semi-Structured Sparsity by Masking for Efficient Model Inference in Convolutional Networks	arXiv	2024	Link
Inductive Learning of Logical Theories with LLMs: An Expressivity-Graded Analysis	arXiv	2024	Link
Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy	arXiv	2024	Link
InferCept: Efficient Intercept Support for Augmented Large Language Model Inference	arXiv	2024	Link
Inference Attacks: A Taxonomy, Survey, and Promising Directions	arXiv	2024	Link
Inferring stability properties of chaotic systems on autoencoders' latent spaces	arXiv	2024	Link
Inline AI: Open-source Deep Learning Inference for Cardiac MR	arXiv	2024	Link
Insights into resource utilization of code small language models serving with runtime engines and execution providers	arXiv	2024	Link
InstantSplat: Sparse-view Gaussian Splatting in Seconds	arXiv	2024	Link
Instructive Code Retriever: Learn from Large Language Model's Feedback for Code Intelligence Tasks	arXiv	2024	Link
Introducing Ensemble Machine Learning Algorithms for Automatic Test Case Generation using Learning Based Testing	arXiv	2024	Link
Investigating Effective Speaker Property Privacy Protection in Federated Learning for Speech Emotion Recognition	arXiv	2024	Link
Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks	arXiv	2024	Link
Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation	arXiv	2024	Link
JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning	arXiv	2024	Link
KDk: A Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning	arXiv	2024	Link
KGExplainer: Towards Exploring Connected Subgraph Explanations for Knowledge Graph Completion	arXiv	2024	Link
KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization	arXiv	2024	Link
Knowledge Distillation Using Frontier Open-source LLMs: Generalizability and the Role of Synthetic Data	arXiv	2024	Link
LLM Dataset Inference: Did you train on my dataset?	arXiv	2024	Link
LPU: A Latency-Optimized and Highly Scalable Processor for Large Language Model Inference	arXiv	2024	Link
LUMIA: Linear probing for Unimodal and MultiModal Membership Inference Attacks leveraging internal LLM states	arXiv	2024	Link
LanguaShrink: Reducing Token Overhead with Psycholinguistics	arXiv	2024	Link
Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective	arXiv	2024	Link
Learning-Based Difficulty Calibration for Enhanced Membership Inference Attacks	arXiv	2024	Link
Let Me DeCode You: Decoder Conditioning with Tabular Data	arXiv	2024	Link
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups	arXiv	2024	Link
Lightweight Deep Learning Based Channel Estimation for Extremely Large-Scale Massive MIMO Systems	arXiv	2024	Link
Lightweight Federated Learning with Differential Privacy and Straggler Resilience	arXiv	2024	Link
Locally Differentially Private In-Context Learning	arXiv	2024	Link
Low Degree Hardness for Broadcasting on Trees	arXiv	2024	Link
Low-Cost Privacy-Preserving Decentralized Learning	arXiv	2024	Link
Lumos : Empowering Multimodal LLMs with Scene Text Recognition	arXiv	2024	Link
MGMD-GAN: Generalization Improvement of Generative Adversarial Networks with Multiple Generator Multiple Discriminator Framework Against Membership Inference Attacks	arXiv	2024	Link
MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector	arXiv	2024	Link
ML2SC: Deploying Machine Learning Models as Smart Contracts on the Blockchain	arXiv	2024	Link
MLOPS in a multicloud environment: Typical Network Topology	arXiv	2024	Link
MPCPA: Multi-Center Privacy Computing with Predictions Aggregation based on Denoising Diffusion Probabilistic Model	arXiv	2024	Link
Machine Unlearning for Uplink Interference Cancellation	arXiv	2024	Link
Machine Unlearning using Forgetting Neural Networks	arXiv	2024	Link
Machine Unlearning using a Multi-GAN based Model	arXiv	2024	Link
Machine Unlearning with Minimal Gradient Dependence for High Unlearning Ratios	arXiv	2024	Link
Manipulating hidden-Markov-model inferences by corrupting batch data	arXiv	2024	Link
Many-Shot Regurgitation (MSR) Prompting	arXiv	2024	Link
Mask-based Membership Inference Attacks for Retrieval-Augmented Generation	arXiv	2024	Link
MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters	arXiv	2024	Link
Membership Inference Attack Against Masked Image Modeling	arXiv	2024	Link
Membership Inference Attack against Long-Context Large Language Models	arXiv	2024	Link
Membership Inference Attacks Against Time-Series Models	arXiv	2024	Link
Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data	arXiv	2024	Link
Membership Inference Attacks against Large Vision-Language Models	arXiv	2024	Link
Membership Inference Attacks and Defenses in Federated Learning: A Survey	arXiv	2024	Link
Membership Inference Attacks and Privacy in Topic Modeling	arXiv	2024	Link
Membership Privacy Evaluation in Deep Spiking Neural Networks	arXiv	2024	Link
Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference	arXiv	2024	Link
Memory-Efficient and Secure DNN Inference on TrustZone-enabled Consumer IoT Devices	arXiv	2024	Link
Meta-Learning for Speeding Up Large Model Inference in Decentralized Environments	arXiv	2024	Link
Minions: Accelerating Large Language Model Inference with Aggregated Speculative Execution	arXiv	2024	Link
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss	arXiv	2024	Link
MoJE: Mixture of Jailbreak Experts, Naive Tabular Classifiers as Guard for Prompt Attacks	arXiv	2024	Link
Model-less Is the Best Model: Generating Pure Code Implementations to Replace On-Device DL Models	arXiv	2024	Link
Modeling, Inference, and Prediction in Mobility-Based Compartmental Models for Epidemiology	arXiv	2024	Link
Multi-student Diffusion Distillation for Better One-step Generators	arXiv	2024	Link
Multimodal Contextual Dialogue Breakdown Detection for Conversational AI Models	arXiv	2024	Link
Multimodal Representation Loss Between Timed Text and Audio for Regularized Speech Separation	arXiv	2024	Link
NITRO: LLM Inference on Intel Laptop NPUs	arXiv	2024	Link
Near-Optimal Reinforcement Learning with Shuffle Differential Privacy	arXiv	2024	Link
Networks of Networks: Complexity Class Principles Applied to Compound AI Systems Design	arXiv	2024	Link
Neural Networks with (Low-Precision) Polynomial Approximations: New Insights and Techniques for Accuracy Improvement	arXiv	2024	Link
Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks	arXiv	2024	Link
Neutrino mass experiments: current and future	arXiv	2024	Link
NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention	arXiv	2024	Link
Nob-MIAs: Non-biased Membership Inference Attacks Assessment on Large Language Models with Ex-Post Dataset Construction	arXiv	2024	Link
Noisy Neighbors: Efficient membership inference attacks against LLMs	arXiv	2024	Link
Non-intrusive and Unconstrained Keystroke Inference in VR Platforms via Infrared Side Channel	arXiv	2024	Link
Nonequilibrium fluctuation-response relations for state observables	arXiv	2024	Link
Normalized Narrow Jump To Conclusions: Normalized Narrow Shortcuts for Parameter Efficient Early Exit Transformer Prediction	arXiv	2024	Link
OSLO: One-Shot Label-Only Membership Inference Attacks	arXiv	2024	Link
Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inference on Heterogeneous Systems	arXiv	2024	Link
On the Efficacy of Eviction Policy for Key-Value Constrained Generative Language Model Inference	arXiv	2024	Link
On the Impact of Uncertainty and Calibration on Likelihood-Ratio Membership Inference Attacks	arXiv	2024	Link
On the Privacy Risk of In-context Learning	arXiv	2024	Link
OnePath: Efficient and Privacy-Preserving Decision Tree Inference in the Cloud	arXiv	2024	Link
Online Resource Allocation for Edge Intelligence with Colocated Model Retraining and Inference	arXiv	2024	Link
Open-World Task and Motion Planning via Vision-Language Model Inferred Constraints	arXiv	2024	Link
Optimal ablation for interpretability	arXiv	2024	Link
Optimization of Armv9 architecture general large language model inference performance based on Llama.cpp	arXiv	2024	Link
Optimizing Foundation Model Inference on a Many-tiny-core Open-source RISC-V Platform	arXiv	2024	Link
Optimizing Tensor Computation Graphs with Equality Saturation and Monte Carlo Tree Search	arXiv	2024	Link
Order of Magnitude Speedups for LLM Membership Inference	arXiv	2024	Link
PPBFL: A Privacy Protected Blockchain-based Federated Learning Model	arXiv	2024	Link
PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection	arXiv	2024	Link
Pandora's White-Box: Precise Training Data Detection and Extraction in Large Language Models	arXiv	2024	Link
Parallel Decoding via Hidden Transfer for Lossless Large Language Model Acceleration	arXiv	2024	Link
Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing	arXiv	2024	Link
Partially Conditioned Patch Parallelism for Accelerated Diffusion Model Inference	arXiv	2024	Link
Pathway to Secure and Trustworthy ZSM for LLMs: Attacks, Defense, and Opportunities	arXiv	2024	Link
Perturbation-Robust Predictive Modeling of Social Effects by Network Subspace Generalized Linear Models	arXiv	2024	Link
Phaedrus: Predicting Dynamic Application Behavior with Lightweight Generative Models and LLMs	arXiv	2024	Link
Phase Diagram of Vision Large Language Models Inference: A Perspective from Interaction across Image and Instruction	arXiv	2024	Link
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation	arXiv	2024	Link
Plato: Plan to Efficiently Decode for Large Language Model Inference	arXiv	2024	Link
Pochhammer Priors for Sparse Count Models	arXiv	2024	Link
Power Grid Parameter Estimation Without Phase Measurements: Theory and Empirical Validation	arXiv	2024	Link
Power spectrum multipoles and clustering wedges during the Epoch of Reionization	arXiv	2024	Link
PowerInfer-2: Fast Large Language Model Inference on a Smartphone	arXiv	2024	Link
PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps	arXiv	2024	Link
Predicting ionic conductivity in solids from the machine-learned potential energy landscape	arXiv	2024	Link
Predictors of disease outbreaks at continentalscale in the African region: Insights and predictions with geospatial artificial intelligence using earth observations and routine disease surveillance data	arXiv	2024	Link
Privacy Drift: Evolving Privacy Concerns in Incremental Learning	arXiv	2024	Link
Privacy Threats and Countermeasures in Federated Learning for Internet of Things: A Systematic Review	arXiv	2024	Link
Privacy Vulnerabilities in Marginals-based Synthetic Data	arXiv	2024	Link
Privacy-Preserving Aggregation for Decentralized Learning with Byzantine-Robustness	arXiv	2024	Link
Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning	arXiv	2024	Link
Privacy-Preserving Dynamic Assortment Selection	arXiv	2024	Link
Privacy-Preserving Face Recognition in Hybrid Frequency-Color Domain	arXiv	2024	Link
Privacy-Preserving Federated Learning via Dataset Distillation	arXiv	2024	Link
Privacy-Preserving Language Model Inference with Instance Obfuscation	arXiv	2024	Link
Privacy-Preserving Optimal Parameter Selection for Collaborative Clustering	arXiv	2024	Link
Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix	arXiv	2024	Link
Privacy-Preserving, Dropout-Resilient Aggregation in Decentralized Learning	arXiv	2024	Link
Privacy-preserving Universal Adversarial Defense for Black-box Models	arXiv	2024	Link
ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models	arXiv	2024	Link
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo	arXiv	2024	Link
Prompting Continual Person Search	arXiv	2024	Link
Proof of Quality: A Costless Paradigm for Trustless Generative AI Model Inference on Blockchains	arXiv	2024	Link
Protecting Vehicle Location Privacy with Contextually-Driven Synthetic Location Generation	arXiv	2024	Link
Protection against Source Inference Attacks in Federated Learning using Unary Encoding and Shuffling	arXiv	2024	Link
Provable Privacy Attacks on Trained Shallow Neural Networks	arXiv	2024	Link
Pruned Convolutional Attention Network Based Wideband Spectrum Sensing with Sub-Nyquist Sampling	arXiv	2024	Link
Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearning	arXiv	2024	Link
Publishing Neural Networks in Drug Discovery Might Compromise Training Data Privacy	arXiv	2024	Link
QuAKE: Speeding up Model Inference Using Quick and Approximate Kernels for Exponential Non-Linearities	arXiv	2024	Link
Quantifying Memorization and Detecting Training Data of Pre-trained Language Models using Japanese Newspaper	arXiv	2024	Link
Quantum Transformer: Accelerating model inference via quantum linear algebra	arXiv	2024	Link
Quantum-activated neural reservoirs on-chip open up large hardware security models for resilient authentication	arXiv	2024	Link
RAEE: A Robust Retrieval-Augmented Early Exiting Framework for Efficient Inference	arXiv	2024	Link
Range Membership Inference Attacks	arXiv	2024	Link
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods	arXiv	2024	Link
Real-World Benchmarks Make Membership Inference Attacks Fail on Diffusion Models	arXiv	2024	Link
Real-time Event Recognition of Long-distance Distributed Vibration Sensing with Knowledge Distillation and Hardware Acceleration	arXiv	2024	Link
Real-time and Downtime-tolerant Fault Diagnosis for Railway Turnout Machines (RTMs) Empowered with Cloud-Edge Pipeline Parallelism	arXiv	2024	Link
Really Unlearned? Verifying Machine Unlearning via Influential Sample Pairs	arXiv	2024	Link
Reconstructing training data from document understanding models	arXiv	2024	Link
Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study	arXiv	2024	Link
Reducing Model Error Using Optimised Galaxy Selection: Weak Lensing Cluster Mass Estimation	arXiv	2024	Link
Reducing Reasoning Costs: The Path of Optimization for Chain of Thought via Sparse Attention Mechanism	arXiv	2024	Link
Redundant Queries in DETR-Based 3D Detection Methods: Unnecessary and Prunable	arXiv	2024	Link
Reinforcement Learning from Human Feedback without Reward Inference: Model-Free Algorithm and Instance-Dependent Analysis	arXiv	2024	Link
Remote Timing Attacks on Efficient Language Model Inference	arXiv	2024	Link
Research on LLM Acceleration Using the High-Performance RISC-V Processor "Xiangshan" (Nanhu Version) Based on the Open-Source Matrix Instruction Set Extension (Vector Dot Product)	arXiv	2024	Link
Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition	arXiv	2024	Link
Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective	arXiv	2024	Link
Retrosynthesis prediction enhanced by in-silico reaction data augmentation	arXiv	2024	Link
Robust Bond Risk Premia Predictability Test in the Quantiles	arXiv	2024	Link
Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks	arXiv	2024	Link
SAFELOC: Overcoming Data Poisoning Attacks in Heterogeneous Federated Machine Learning for Indoor Localization	arXiv	2024	Link
SEBA: Strong Evaluation of Biometric Anonymizations	arXiv	2024	Link
SN 2019nyk: A rapidly declining Type II supernova with early interaction signatures	arXiv	2024	Link
SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy	arXiv	2024	Link
Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software Deployment	arXiv	2024	Link
SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration	arXiv	2024	Link
Sampling-based Pseudo-Likelihood for Membership Inference Attacks	arXiv	2024	Link
Scalable Federated Unlearning via Isolated and Coded Sharding	arXiv	2024	Link
Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks	arXiv	2024	Link
Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models	arXiv	2024	Link
Scenario of Use Scheme: Threat Model Specification for Speaker Privacy Protection in the Medical Domain	arXiv	2024	Link
SeSeMI: Secure Serverless Model Inference on Sensitive Data	arXiv	2024	Link
Secure Aggregation is Not Private Against Membership Inference Attacks	arXiv	2024	Link
Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Models	arXiv	2024	Link
Self-Selected Attention Span for Accelerating Large Language Model Inference	arXiv	2024	Link
Semantic Membership Inference Attack against Large Language Models	arXiv	2024	Link
Semirings for Probabilistic and Neuro-Symbolic Logic Programming	arXiv	2024	Link
SeqMIA: Sequential-Metric Based Membership Inference Attack	arXiv	2024	Link
ServeFlow: A Fast-Slow Model Architecture for Network Traffic Analysis	arXiv	2024	Link
Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought	arXiv	2024	Link
Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk	arXiv	2024	Link
Siamese Machine Unlearning with Knowledge Vaporization and Concentration	arXiv	2024	Link
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models	arXiv	2024	Link
Smartphone-based Eye Tracking System using Edge Intelligence and Model Optimisation	arXiv	2024	Link
Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model	arXiv	2024	Link
SparseInfer: Training-free Prediction of Activation Sparsity for Fast LLM Inference	arXiv	2024	Link
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference	arXiv	2024	Link
SpecstatOR: Speckle statistics-based iOCT Segmentation Network for Ophthalmic Surgery	arXiv	2024	Link
Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion	arXiv	2024	Link
Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit Reasoning	arXiv	2024	Link
Stealing the Invisible: Unveiling Pre-Trained CNN Models through Adversarial Examples and Timing Side-Channels	arXiv	2024	Link
StraightLine: An End-to-End Resource-Aware Scheduler for Machine Learning Application Requests	arXiv	2024	Link
Structurally Aware Robust Model Selection for Mixtures	arXiv	2024	Link
Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates	arXiv	2024	Link
Subconscious Robotic Imitation Learning	arXiv	2024	Link
Successive Refinement in Large-Scale Computation: Advancing Model Inference Applications	arXiv	2024	Link
Survey of Security and Data Attacks on Machine Unlearning In Financial and E-Commerce	arXiv	2024	Link
Synthetic Image Learning: Preserving Performance and Preventing Membership Inference Attacks	arXiv	2024	Link
TDDBench: A Benchmark for Training data detection	arXiv	2024	Link
TP-Aware Dequantization	arXiv	2024	Link
TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices	arXiv	2024	Link
TacDiffusion: Force-domain Diffusion Policy for Precise Tactile Manipulation	arXiv	2024	Link
Temporal Decisions: Leveraging Temporal Correlation for Efficient Decisions in Early Exit Neural Networks	arXiv	2024	Link
Temporal Test-Time Adaptation with State-Space Models	arXiv	2024	Link
The Impact of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image Classification	arXiv	2024	Link
The Impact of Hyperparameters on Large Language Model Inference Performance: An Evaluation of vLLM and HuggingFace Pipelines	arXiv	2024	Link
The Origin of the X-ray Emission from the Non-Starburst Gas-Rich Luminous Infrared Galaxies Arp 302	arXiv	2024	Link
The Price of Prompting: Profiling Energy Use in Large Language Models Inference	arXiv	2024	Link
The Unreasonable Effectiveness of Solving Inverse Problems with Neural Networks	arXiv	2024	Link
The neutron star mass, distance, and inclination from precision timing of the brilliant millisecond pulsar J0437$-$4715	arXiv	2024	Link
Too Good to be True? Turn Any Model Differentially Private With DP-Weights	arXiv	2024	Link
Toward Real-Time Edge AI: Model-Agnostic Task-Oriented Communication with Visual Feature Alignment	arXiv	2024	Link
Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference	arXiv	2024	Link
Towards Black-Box Membership Inference Attack for Diffusion Models	arXiv	2024	Link
Towards Competitive Search Relevance For Inference-Free Learned Sparse Retrievers	arXiv	2024	Link
Towards Dense and Accurate Radar Perception Via Efficient Cross-Modal Diffusion Model	arXiv	2024	Link
Towards Performance-Aware Allocation for Accelerated Machine Learning on GPU-SSD Systems	arXiv	2024	Link
Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference	arXiv	2024	Link
Towards a Game-theoretic Understanding of Explanation-based Membership Inference Attacks	arXiv	2024	Link
Towards more accurate and useful data anonymity vulnerability measures	arXiv	2024	Link
Transformer-Lite: High-efficiency Deployment of Large Language Models on Mobile Phone GPUs	arXiv	2024	Link
TriOS Schwarzschild Orbit Modeling: Robustness of Parameter Inference for Masses and Shapes of Triaxial Galaxies with Supermassive Black Holes	arXiv	2024	Link
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance	arXiv	2024	Link
Truthful Text Sanitization Guided by Inference Attacks	arXiv	2024	Link
UELLM: A Unified and Efficient Approach for LLM Inference Serving	arXiv	2024	Link
UNCOVER: 404 Error -- Models Not Found for the Triply Imaged Little Red Dot A2744-QSO1	arXiv	2024	Link
UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers	arXiv	2024	Link
Uncertainty Propagation within Chained Models for Machine Learning Reconstruction of Neutrino-LAr Interactions	arXiv	2024	Link
Unified Low-rank Compression Framework for Click-through Rate Prediction	arXiv	2024	Link
Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence	arXiv	2024	Link
Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking	arXiv	2024	Link
Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding	arXiv	2024	Link
Unmasking Database Vulnerabilities: Zero-Knowledge Schema Inference Attacks in Text-to-SQL Systems	arXiv	2024	Link
Unscrambling disease progression at scale: fast inference of event permutations with optimal transport	arXiv	2024	Link
Unveiling Structural Memorization: Structural Membership Inference Attack for Text-to-Image Diffusion Models	arXiv	2024	Link
Unveiling Synthetic Faces: How Synthetic Datasets Can Expose Real Identities	arXiv	2024	Link
Unveiling the Unseen: Exploring Whitebox Membership Inference through the Lens of Explainability	arXiv	2024	Link
Upcycling Noise for Federated Unlearning	arXiv	2024	Link
VARX Granger Analysis: Modeling, Inference, and Applications	arXiv	2024	Link
VL-Cache: Sparsity and Modality-Aware KV Cache Compression for Vision-Language Model Inference Acceleration	arXiv	2024	Link
Verifiable evaluations of machine learning models using zkSNARKs	arXiv	2024	Link
Virtual Staining of Label-Free Tissue in Imaging Mass Spectrometry	arXiv	2024	Link
VisionZip: Longer is Better but Not Necessary in Vision Language Models	arXiv	2024	Link
WaKA: Data Attribution using K-Nearest Neighbors and Membership Privacy Principles	arXiv	2024	Link
Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Models	arXiv	2024	Link
WcDT: World-centric Diffusion Transformer for Traffic Scene Generation	arXiv	2024	Link
When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference	arXiv	2024	Link
Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models	arXiv	2024	Link
Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks?	arXiv	2024	Link
Wireless Environment Information Sensing, Feature, Semantic, and Knowledge: Four Steps Towards 6G AI-Enabled Air Interface	arXiv	2024	Link
X-ray view of dissipative warm corona in active galactic nuclei	arXiv	2024	Link
Your Car Tells Me Where You Drove: A Novel Path Inference Attack via CAN Bus and OBD-II Data	arXiv	2024	Link
Zero-Space Cost Fault Tolerance for Transformer-based Language Models on ReRAM	arXiv	2024	Link
iToT: An Interactive System for Customized Tree-of-Thought Generation	arXiv	2024	Link
opML: Optimistic Machine Learning on Blockchain	arXiv	2024	Link

2023

Title	Venue	Year	Link
3D detection of roof sections from a single satellite image and application to LOD2-building reconstruction	arXiv	2023	Link
A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses	arXiv	2023	Link
A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness	arXiv	2023	Link
A Hardware Evaluation Framework for Large Language Model Inference	arXiv	2023	Link
A Lite Fireworks Algorithm with Fractal Dimension Constraint for Feature Selection	arXiv	2023	Link
A Note On Interpreting Canary Exposure	arXiv	2023	Link
A Privacy-Preserving Energy Theft Detection Model for Effective Demand-Response Management in Smart Grids	arXiv	2023	Link
A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models	arXiv	2023	Link
A Spatial-Temporal Dual-Mode Mixed Flow Network for Panoramic Video Salient Object Detection	arXiv	2023	Link
A Survey of Serverless Machine Learning Model Inference	arXiv	2023	Link
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy	arXiv	2023	Link
A Unified Hardware-based Threat Detector for AI Accelerators	arXiv	2023	Link
AI Security Threats against Pervasive Robotic Systems: A Course for Next Generation Cybersecurity Workforce	arXiv	2023	Link
ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations	arXiv	2023	Link
ALT: An Automatic System for Long Tail Scenario Modeling	arXiv	2023	Link
Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference	arXiv	2023	Link
Accelerator-driven Data Arrangement to Minimize Transformers Run-time on Multi-core Architectures	arXiv	2023	Link
Achilles' Heels: Vulnerable Record Identification in Synthetic Data Publishing	arXiv	2023	Link
Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases	arXiv	2023	Link
Adapting Pre-trained Language Models to Vision-Language Tasks via Dynamic Visual Prompting	arXiv	2023	Link
Adaptive Sparse Gaussian Process	arXiv	2023	Link
Advancing Direct Convolution using Convolution Slicing Optimization and ISA Extensions	arXiv	2023	Link
Adversary for Social Good: Leveraging Adversarial Attacks to Protect Personal Attribute Privacy	arXiv	2023	Link
Age of FGK Dwarfs Observed with LAMOST and GALAH: Considering the Oxygen Enhancement	arXiv	2023	Link
Agentività e telicità in GilBERTo: implicazioni cognitive	arXiv	2023	Link
An Efficient Algorithm for Clustered Multi-Task Compressive Sensing	arXiv	2023	Link
An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization	arXiv	2023	Link
An Empirical reionization history model inferred from the low-redshift Lyman continuum survey and the star-forming galaxies at $z>8$	arXiv	2023	Link
An End-to-End Framework For Universal Lesion Detection With Missing Annotations	arXiv	2023	Link
An unsupervised approach towards promptable defect segmentation in laser-based additive manufacturing by Segment Anything	arXiv	2023	Link
Analyzing the Shuffle Model through the Lens of Quantitative Information Flow	arXiv	2023	Link
Approximation of Intractable Likelihood Functions in Systems Biology via Normalizing Flows	arXiv	2023	Link
Are Diffusion Models Vulnerable to Membership Inference Attacks?	arXiv	2023	Link
Are Normalizing Flows the Key to Unlocking the Exponential Mechanism?	arXiv	2023	Link
AtMan: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation	arXiv	2023	Link
Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching	arXiv	2023	Link
AutoDroid: LLM-powered Task Automation in Android	arXiv	2023	Link
Autoencoders for Real-Time SUEP Detection	arXiv	2023	Link
BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection	arXiv	2023	Link
Bayesian Non-linear Latent Variable Modeling via Random Fourier Features	arXiv	2023	Link
Bayesian mixed model inference for genetic association under related samples with brain network phenotype	arXiv	2023	Link
Beyond Classical Attention: Quantum Attention for Scalable Computation	arXiv	2023	Link
Beyond Memorization: Violating Privacy Via Inference with Large Language Models	arXiv	2023	Link
Beyond Neural-on-Neural Approaches to Speaker Gender Protection	arXiv	2023	Link
Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation	arXiv	2023	Link
Beyond the Model: Data Pre-processing Attack to Deep Learning Models in Android Apps	arXiv	2023	Link
Biases in Inverse Ising Estimates of Near-Critical Behaviour	arXiv	2023	Link
Black-Box Training Data Identification in GANs via Detector Networks	arXiv	2023	Link
Blockchain-based Optimized Client Selection and Privacy Preserved Framework for Federated Learning	arXiv	2023	Link
Bounding Training Data Reconstruction in DP-SGD	arXiv	2023	Link
CORAL: Expert-Curated medical Oncology Reports to Advance Language Model Inference	arXiv	2023	Link
Camera-Incremental Object Re-Identification with Identity Knowledge Evolution	arXiv	2023	Link
Can Large Language Models Infer Causation from Correlation?	arXiv	2023	Link
Can Virtual Reality Protect Users from Keystroke Inference Attacks?	arXiv	2023	Link
ClickSeg: 3D Instance Segmentation with Click-Level Weak Annotations	arXiv	2023	Link
Comparative Knowledge Distillation	arXiv	2023	Link
Compressed Context Memory For Online Language Model Interaction	arXiv	2023	Link
Concise and Organized Perception Facilitates Reasoning in Large Language Models	arXiv	2023	Link
Confidence Is All You Need for MI Attacks	arXiv	2023	Link
Confirmation of TiO absorption and tentative detection of MgH and CrH in the atmosphere of HAT-P-41b	arXiv	2023	Link
ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference	arXiv	2023	Link
Context Perception Parallel Decoder for Scene Text Recognition	arXiv	2023	Link
Cox model inference for relative hazard and pure risk from stratified weight-calibrated case-cohort data	arXiv	2023	Link
Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy	arXiv	2023	Link
Declarative Probabilistic Logic Programming in Discrete-Continuous Domains	arXiv	2023	Link
Deep Unlearning: Fast and Efficient Gradient-free Approach to Class Forgetting	arXiv	2023	Link
Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models	arXiv	2023	Link
Diffence: Fencing Membership Privacy With Diffusion Models	arXiv	2023	Link
Differentially Private Diffusion Auction: The Single-unit Case	arXiv	2023	Link
Discriminative Adversarial Privacy: Balancing Accuracy and Membership Privacy in Neural Networks	arXiv	2023	Link
DistillSpec: Improving Speculative Decoding via Knowledge Distillation	arXiv	2023	Link
Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk?	arXiv	2023	Link
Domain Private Transformers for Multi-Domain Dialog Systems	arXiv	2023	Link
Domain constraints improve risk prediction when outcome data is missing	arXiv	2023	Link
E-Sparse: Boosting the Large Language Model Inference through Entropy-based N:M Sparsity	arXiv	2023	Link
EMShepherd: Detecting Adversarial Samples via Side-channel Leakage	arXiv	2023	Link
EWT: Efficient Wavelet-Transformer for Single Image Denoising	arXiv	2023	Link
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses	arXiv	2023	Link
Efficient Skip Connections Realization for Secure Inference on Encrypted Data	arXiv	2023	Link
EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency and Representation	arXiv	2023	Link
Eliminating Label Leakage in Tree-Based Vertical Federated Learning	arXiv	2023	Link
Emulator-based Bayesian Inference on Non-Proportional Scintillation Models by Compton-Edge Probing	arXiv	2023	Link
Enabling Trade-offs in Privacy and Utility in Genomic Data Beacons and Summary Statistics	arXiv	2023	Link
Epsilon*: Privacy Metric for Machine Learning Models	arXiv	2023	Link
Evaluating Trade-offs in Computer Vision Between Attribute Privacy, Fairness and Utility	arXiv	2023	Link
Event Temporal Relation Extraction with Bayesian Translational Model	arXiv	2023	Link
Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison	arXiv	2023	Link
Exploring Lip Segmentation Techniques in Computer Vision: A Comparative Analysis	arXiv	2023	Link
Exploring the Potential of Flexible 8-bit Format: Design and Algorithm	arXiv	2023	Link
FLAIRS: FPGA-Accelerated Inference-Resistant & Secure Federated Learning	arXiv	2023	Link
Fast emulation of cosmological density fields based on dimensionality reduction and supervised machine-learning	arXiv	2023	Link
Fast model inference and training on-board of Satellites	arXiv	2023	Link
Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference	arXiv	2023	Link
FedCIP: Federated Client Intellectual Property Protection with Traitor Tracking	arXiv	2023	Link
Federated Topic Model and Model Pruning Based on Variational Autoencoder	arXiv	2023	Link
Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity	arXiv	2023	Link
FlashDecoding++: Faster Large Language Model Inference on GPUs	arXiv	2023	Link
Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models	arXiv	2023	Link
Frameless Graph Knowledge Distillation	arXiv	2023	Link
Framing the News:From Human Perception to Large Language Model Inferences	arXiv	2023	Link
From Static to Dynamic: A Continual Learning Framework for Large Language Models	arXiv	2023	Link
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference	arXiv	2023	Link
Frugal Prompting for Dialog Models	arXiv	2023	Link
Fundamental Limits of Membership Inference Attacks on Machine Learning Models	arXiv	2023	Link
GNNBleed: Inference Attacks to Unveil Private Edges in Graphs with Realistic Access to GNN Models	arXiv	2023	Link
GPU-enabled Function-as-a-Service for Machine Learning Inference	arXiv	2023	Link
Gaussian Membership Inference Privacy	arXiv	2023	Link
Generalizing Differentially Private Decentralized Deep Learning with Multi-Agent Consensus	arXiv	2023	Link
Generating Personas for Games with Multimodal Adversarial Imitation Learning	arXiv	2023	Link
Generative AI Beyond LLMs: System Implications of Multi-Modal Generation	arXiv	2023	Link
Gradient Leakage Defense with Key-Lock Module for Federated Learning	arXiv	2023	Link
Gradient-Based Automated Iterative Recovery for Parameter-Efficient Tuning	arXiv	2023	Link
Gradient-Free Textual Inversion	arXiv	2023	Link
Graph Denoising Diffusion for Inverse Protein Folding	arXiv	2023	Link
Guided Cooperation in Hierarchical Reinforcement Learning via Model-based Rollout	arXiv	2023	Link
HYBRIDFORMER: improving SqueezeFormer with hybrid attention and NSR mechanism	arXiv	2023	Link
HeteroEdge: Addressing Asymmetry in Heterogeneous Collaborative Autonomous Systems	arXiv	2023	Link
High Efficiency Inference Accelerating Algorithm for NOMA-based Mobile Edge Computing	arXiv	2023	Link
IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency	arXiv	2023	Link
I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval	arXiv	2023	Link
Improved Membership Inference Attacks Against Language Classification Models	arXiv	2023	Link
Improving Post-Training Quantization on Object Detection with Task Loss-Guided Lp Metric	arXiv	2023	Link
Incentive Mechanism for Uncertain Tasks under Differential Privacy	arXiv	2023	Link
Independent Distribution Regularization for Private Graph Embedding	arXiv	2023	Link
Inferring Communities of Interest in Collaborative Learning-based Recommender Systems	arXiv	2023	Link
Inferring the Goals of Communicating Agents from Actions and Instructions	arXiv	2023	Link
InfoFlowNet: A Multi-head Attention-based Self-supervised Learning Model with Surrogate Approach for Uncovering Brain Effective Connectivity	arXiv	2023	Link
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes	arXiv	2023	Link
InkStream: Real-time GNN Inference on Streaming Graphs via Incremental Update	arXiv	2023	Link
Instance Segmentation Based Graph Extraction for Handwritten Circuit Diagram Images	arXiv	2023	Link
Integrity and Junkiness Failure Handling for Embedding-based Retrieval: A Case Study in Social Network Search	arXiv	2023	Link
Inter-Layer Scheduling Space Exploration for Multi-model Inference on Heterogeneous Chiplets	arXiv	2023	Link
Interaction-level Membership Inference Attack Against Federated Recommender Systems	arXiv	2023	Link
Introducing Competition to Boost the Transferability of Targeted Adversarial Examples through Clean Feature Mixup	arXiv	2023	Link
Inverse modeling of time-delayed interactions via the dynamic-entropy formalism	arXiv	2023	Link
Investigating the Effect of Misalignment on Membership Privacy in the White-box Setting	arXiv	2023	Link
JDLL: A library to run Deep Learning models on Java bioimage informatics platforms	arXiv	2023	Link
LGL-BCI: A Motor-Imagery-Based Brain-Computer Interface with Geometric Learning	arXiv	2023	Link
LLM in a flash: Efficient Large Language Model Inference with Limited Memory	arXiv	2023	Link
LLMCad: Fast and Scalable On-device Large Language Model Inference	arXiv	2023	Link
LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models	arXiv	2023	Link
LLMs Can Understand Encrypted Prompt: Towards Privacy-Computing Friendly Transformers	arXiv	2023	Link
LOIS: Looking Out of Instance Semantics for Visual Question Answering	arXiv	2023	Link
Label Inference Attack against Split Learning under Regression Setting	arXiv	2023	Link
Label Inference Attacks against Node-level Vertical Federated GNNs	arXiv	2023	Link
Leakage-Abuse Attacks Against Forward and Backward Private Searchable Symmetric Encryption	arXiv	2023	Link
Learning Internal Representations of 3D Transformations from 2D Projected Inputs	arXiv	2023	Link
Learning Semantic Role Labeling from Compatible Label Sequences	arXiv	2023	Link
Let's reward step by step: Step-Level reward model as the Navigators for Reasoning	arXiv	2023	Link
LinguaLinked: A Distributed Large Language Model Inference System for Mobile Devices	arXiv	2023	Link
Location Privacy Protection Game against Adversary through Multi-user Cooperative Obfuscation	arXiv	2023	Link
Low-Cost High-Power Membership Inference Attacks	arXiv	2023	Link
MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning	arXiv	2023	Link
MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training	arXiv	2023	Link
MTD: Multi-Timestep Detector for Delayed Streaming Perception	arXiv	2023	Link
MalIoT: Scalable and Real-time Malware Traffic Detection for IoT Networks	arXiv	2023	Link
Manipulating Transfer Learning for Property Inference	arXiv	2023	Link
Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack using Public Data	arXiv	2023	Link
Matrix GARCH Model: Inference and Application	arXiv	2023	Link
Membership Inference Attack for Beluga Whales Discrimination	arXiv	2023	Link
Membership Inference Attacks against Language Models via Neighbourhood Comparison	arXiv	2023	Link
Membership Inference Attacks against Synthetic Data through Overfitting Detection	arXiv	2023	Link
Membership Inference Attacks on DNNs using Adversarial Perturbations	arXiv	2023	Link
Membership Inference Attacks on Diffusion Models via Quantile Regression	arXiv	2023	Link
Membership Inference of Diffusion Models	arXiv	2023	Link
Membership Privacy Risks of Sharpness Aware Minimization	arXiv	2023	Link
Membership inference attack with relative decision boundary distance	arXiv	2023	Link
Mercury: An Automated Remote Side-channel Attack to Nvidia Deep Learning Accelerator	arXiv	2023	Link
Mobile-Cloud Inference for Collaborative Intelligence	arXiv	2023	Link
Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence	arXiv	2023	Link
Multi-annotator Deep Learning: A Probabilistic Framework for Classification	arXiv	2023	Link
Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast	arXiv	2023	Link
Mutual Information Regularization for Vertical Federated Learning	arXiv	2023	Link
Neighborhood Homophily-based Graph Convolutional Network	arXiv	2023	Link
No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML	arXiv	2023	Link
OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization	arXiv	2023	Link
On Feasibility of Server-side Backdoor Attacks on Split Learning	arXiv	2023	Link
On Mitigating the Utility-Loss in Differentially Private Learning: A new Perspective by a Geometrically Inspired Kernel Approach	arXiv	2023	Link
On Optimal Caching and Model Multiplexing for Large Model Inference	arXiv	2023	Link
On-device Real-time Custom Hand Gesture Recognition	arXiv	2023	Link
One-Step Knowledge Distillation and Fine-Tuning in Using Large Pre-Trained Self-Supervised Learning Models for Speaker Verification	arXiv	2023	Link
One-stage Modality Distillation for Incomplete Multimodal Learning	arXiv	2023	Link
Over-the-Air Federated Learning In Broadband Communication	arXiv	2023	Link
Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction	arXiv	2023	Link
PUMA: Secure Inference of LLaMA-7B in Five Minutes	arXiv	2023	Link
Passive Inference Attacks on Split Learning via Adversarial Regularization	arXiv	2023	Link
Photovoltaic Panel Defect Detection Based on Ghost Convolution with BottleneckCSP and Tiny Target Prediction Head Incorporating YOLOv5	arXiv	2023	Link
Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice	arXiv	2023	Link
Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study	arXiv	2023	Link
Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration	arXiv	2023	Link
Predicting a Protein's Stability under a Million Mutations	arXiv	2023	Link
Preserving Node-level Privacy in Graph Neural Networks	arXiv	2023	Link
Preserving Privacy in GANs Against Membership Inference Attack	arXiv	2023	Link
PriSampler: Mitigating Property Inference of Diffusion Models	arXiv	2023	Link
Privacy Against Agnostic Inference Attacks in Vertical Federated Learning	arXiv	2023	Link
Privacy Inference-Empowered Stealthy Backdoor Attack on Federated Learning under Non-IID Scenarios	arXiv	2023	Link
Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds	arXiv	2023	Link
Privacy Threats in Stable Diffusion Models	arXiv	2023	Link
Privacy and Efficiency of Communications in Federated Split Learning	arXiv	2023	Link
Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes	arXiv	2023	Link
Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure	arXiv	2023	Link
Prototype Helps Federated Learning: Towards Faster Convergence	arXiv	2023	Link
PuMer: Pruning and Merging Tokens for Efficient Vision Language Models	arXiv	2023	Link
PyVBMC: Efficient Bayesian inference in Python	arXiv	2023	Link
Quantifying Privacy Risks of Prompts in Visual Prompt Learning	arXiv	2023	Link
Quantum Solutions to the Privacy vs. Utility Tradeoff	arXiv	2023	Link
Random-effects substitution models for phylogenetics via scalable gradient approximations	arXiv	2023	Link
Rank-Minimizing and Structured Model Inference	arXiv	2023	Link
Ranking Differential Privacy	arXiv	2023	Link
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval	arXiv	2023	Link
Real-Time Probabilistic Programming	arXiv	2023	Link
Reinforcement Unlearning	arXiv	2023	Link
Rethinking Soft Label in Label Distribution Learning Perspective	arXiv	2023	Link
Robust Mixture-of-Expert Training for Convolutional Neural Networks	arXiv	2023	Link
Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties	arXiv	2023	Link
Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative Inference Framework for Deep Learning Classification Tasks	arXiv	2023	Link
SEAM: An Integrated Activation-Coupled Model of Sentence Processing and Eye Movements in Reading	arXiv	2023	Link
SLMIA-SR: Speaker-Level Membership Inference Attacks against Speaker Recognition Systems	arXiv	2023	Link
STEP: Learning N:M Structured Sparsity Masks from Scratch with Precondition	arXiv	2023	Link
Scalable Membership Inference Attacks via Quantile Regression	arXiv	2023	Link
Schema Inference for Interpretable Image Classification	arXiv	2023	Link
Security and Privacy Issues of Federated Learning	arXiv	2023	Link
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models	arXiv	2023	Link
Set-Membership Inference Attacks using Data Watermarking	arXiv	2023	Link
Shedding the Bits: Pushing the Boundaries of Quantization with Minifloats on FPGAs	arXiv	2023	Link
SimLM: Can Language Models Infer Parameters of Physical Systems?	arXiv	2023	Link
Simultaneous identification of models and parameters of scientific simulators	arXiv	2023	Link
SoK: A Data-driven View on Methods to Detect Reflective Amplification DDoS Attacks Using Honeypots	arXiv	2023	Link
SoK: Comparing Different Membership Inference Attacks with a Comprehensive Benchmark	arXiv	2023	Link
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning	arXiv	2023	Link
SparseCoder: Advancing Source Code Analysis with Sparse Attention and Learned Token Pruning	arXiv	2023	Link
Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models	arXiv	2023	Link
Sparsity in neural networks can improve their privacy	arXiv	2023	Link
SpeeChain: A Speech Toolkit for Large-Scale Machine Speech Chain	arXiv	2023	Link
SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks	arXiv	2023	Link
Steered Mixture of Experts Regression for Image Denoising with Multi-Model-Inference	arXiv	2023	Link
Symphony: Optimized DNN Model Serving using Deferred Batch Scheduling	arXiv	2023	Link
Synthetic is all you need: removing the auxiliary data assumption for membership inference attacks against synthetic data	arXiv	2023	Link
Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge	arXiv	2023	Link
Task Contamination: Language Models May Not Be Few-Shot Anymore	arXiv	2023	Link
Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning Against Attribute Inference Attacks	arXiv	2023	Link
Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions	arXiv	2023	Link
Test Generation Strategies for Building Failure Models and Explaining Spurious Failures	arXiv	2023	Link
The Inadequacy of Similarity-based Privacy Metrics: Privacy Attacks against "Truly Anonymous" Synthetic Datasets	arXiv	2023	Link
The Integer Linear Programming Inference Cookbook	arXiv	2023	Link
The Ups and Downs of Large Language Model Inference with Vocabulary Trimming by Language Heuristics	arXiv	2023	Link
The true fraction of repeating fast radio bursts revealed through CHIME source count evolution	arXiv	2023	Link
Tight Concentration Inequality for Sub-Weibull Random Variables with Generalized Bernstien Orlicz norm	arXiv	2023	Link
TorchBench: Benchmarking PyTorch with High API Surface Coverage	arXiv	2023	Link
Towards Environmentally Equitable AI via Geographical Load Balancing	arXiv	2023	Link
Towards More Realistic Membership Inference Attacks on Large Diffusion Models	arXiv	2023	Link
Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision	arXiv	2023	Link
Towards Unbounded Machine Unlearning	arXiv	2023	Link
TransCODE: Co-design of Transformers and Accelerators for Efficient Training and Inference	arXiv	2023	Link
TransFace++: Rethinking the Face Recognition Paradigm with a Focus on Accuracy, Efficiency, and Security	arXiv	2023	Link
Tree of Thoughts: Deliberate Problem Solving with Large Language Models	arXiv	2023	Link
Two-Stage Hybrid Supervision Framework for Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT	arXiv	2023	Link
USDC: Unified Static and Dynamic Compression for Visual Transformer	arXiv	2023	Link
Ultrafast-and-Ultralight ConvNet-Based Intelligent Monitoring System for Diagnosing Early-Stage Mpox Anytime and Anywhere	arXiv	2023	Link
Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inference	arXiv	2023	Link
User Inference Attacks on Large Language Models	arXiv	2023	Link
User-Controlled Knowledge Fusion in Large Language Models: Balancing Creativity and Hallucination	arXiv	2023	Link
Using Decentralized Aggregation for Federated Learning with Differential Privacy	arXiv	2023	Link
Using infinite server queues with partial information for occupancy prediction	arXiv	2023	Link
VT-GAN: Cooperative Tabular Data Synthesis using Vertical Federated Learning	arXiv	2023	Link
VertexSerum: Poisoning Graph Neural Networks for Link Inference	arXiv	2023	Link
What Is Near?: Room Locality Learning for Enhanced Robot Vision-Language-Navigation in Indoor Living Environments	arXiv	2023	Link
White-box Membership Inference Attacks against Diffusion Models	arXiv	2023	Link
Why Train More? Effective and Efficient Membership Inference via Memorization	arXiv	2023	Link
World Modeling for Autonomous Wheel Loaders	arXiv	2023	Link
X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs	arXiv	2023	Link
Xenos: Dataflow-Centric Optimization to Accelerate Model Inference on Edge Devices	arXiv	2023	Link
Zero-shot Sound Event Classification Using a Sound Attribute Vector with Global and Local Feature Learning	arXiv	2023	Link
k-Means SubClustering: A Differentially Private Algorithm with Improved Clustering Quality	arXiv	2023	Link
k-SALSA: k-anonymous synthetic averaging of retinal images via local style alignment	arXiv	2023	Link
nerblackbox: A High-level Library for Named Entity Recognition in Python	arXiv	2023	Link

2022

Title	Venue	Year	Link
A Blessing of Dimensionality in Membership Inference through Regularization	arXiv	2022	Link
A Disc Reflection Model for Ultra-Soft Narrow-Line Seyfert 1 Galaxies	arXiv	2022	Link
A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models	arXiv	2022	Link
A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning	arXiv	2022	Link
A Masked Image Reconstruction Network for Document-level Relation Extraction	arXiv	2022	Link
A New Implementation of Federated Learning for Privacy and Security Enhancement	arXiv	2022	Link
A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information	arXiv	2022	Link
A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis	arXiv	2022	Link
A Probabilistic-Logic based Commonsense Representation Framework for Modelling Inferences with Multiple Antecedents and Varying Likelihoods	arXiv	2022	Link
A probabilistic latent variable model for detecting structure in binary data	arXiv	2022	Link
Accelerating Deep Learning Model Inference on Arm CPUs with Ultra-Low Bit Quantization and Runtime	arXiv	2022	Link
Additive Logistic Mechanism for Privacy-Preserving Self-Supervised Learning	arXiv	2022	Link
Adversarial Machine Learning-Based Anticipation of Threats Against Vehicle-to-Microgrid Services	arXiv	2022	Link
AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications	arXiv	2022	Link
An Efficient Subpopulation-based Membership Inference Attack	arXiv	2022	Link
An Empirical Study of Low Precision Quantization for TinyML	arXiv	2022	Link
Analytical Engines With Context-Rich Processing: Towards Efficient Next-Generation Analytics	arXiv	2022	Link
Analyzing Semantic Faithfulness of Language Models via Input Intervention on Question Answering	arXiv	2022	Link
Approximate Bayesian Inference for the Interaction Types 1, 2, 3 and 4 with Application in Disease Mapping	arXiv	2022	Link
Approximate Message Passing for Multi-Layer Estimation in Rotationally Invariant Models	arXiv	2022	Link
Are Attribute Inference Attacks Just Imputation?	arXiv	2022	Link
Asteroseismology of 3,642 Kepler Red Giants: Correcting the Scaling Relations based on Detailed Modeling	arXiv	2022	Link
Attacking Compressed Vision Transformers	arXiv	2022	Link
Attribute Inference Attacks in Online Multiplayer Video Games: a Case Study on Dota2	arXiv	2022	Link
Auditing Membership Leakages of Multi-Exit Networks	arXiv	2022	Link
AutoDiCE: Fully Automated Distributed CNN Inference at the Edge	arXiv	2022	Link
BRIGHT -- Graph Neural Networks in Real-Time Fraud Detection	arXiv	2022	Link
Bayesian Complementary Kernelized Learning for Multidimensional Spatiotemporal Data	arXiv	2022	Link
Bayesian Estimation of Differential Privacy	arXiv	2022	Link
Bayesian inference for discretely observed continuous time multi-state models	arXiv	2022	Link
Benchmark of DNN Model Search at Deployment Time	arXiv	2022	Link
Benchmark tests of transmission spectroscopy using transiting white dwarfs	arXiv	2022	Link
Big Earth Data and Machine Learning for Sustainable and Resilient Agriculture	arXiv	2022	Link
Black-Box Audits for Group Distribution Shifts	arXiv	2022	Link
Black-Box Tuning for Language-Model-as-a-Service	arXiv	2022	Link
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic Segmentation	arXiv	2022	Link
CausalDialogue: Modeling Utterance-level Causality in Conversations	arXiv	2022	Link
Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards	arXiv	2022	Link
Collaborative Drug Discovery: Inference-level Data Protection Perspective	arXiv	2022	Link
Combining Self-Training and Hybrid Architecture for Semi-supervised Abdominal Organ Segmentation	arXiv	2022	Link
Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data	arXiv	2022	Link
Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks	arXiv	2022	Link
Contrastive Adapters for Foundation Model Group Robustness	arXiv	2022	Link
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees	arXiv	2022	Link
CrowdGuard: Federated Backdoor Detection in Federated Learning	arXiv	2022	Link
Cutting feedback and modularized analyses in generalized Bayesian inference	arXiv	2022	Link
DATE: Dual Assignment for End-to-End Fully Convolutional Object Detection	arXiv	2022	Link
DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation	arXiv	2022	Link
DGI: Easy and Efficient Inference for GNNs	arXiv	2022	Link
Data aggregation can lead to biased inferences in Bayesian linear mixed models and Bayesian ANOVA: A simulation study	arXiv	2022	Link
Data-driven quadratic modeling in the Loewner framework from input-output time-domain measurements	arXiv	2022	Link
DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting	arXiv	2022	Link
Deep Active Learning with Noise Stability	arXiv	2022	Link
DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale	arXiv	2022	Link
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale	arXiv	2022	Link
Demystify Self-Attention in Vision Transformers from a Semantic Perspective: Analysis and Application	arXiv	2022	Link
Differentially Private Counterfactuals via Functional Mechanism	arXiv	2022	Link
Differentially Private Federated Learning via Inexact ADMM with Multiple Local Updates	arXiv	2022	Link
Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks	arXiv	2022	Link
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation	arXiv	2022	Link
Dissecting Distribution Inference	arXiv	2022	Link
Does CLIP Know My Face?	arXiv	2022	Link
Does Label Differential Privacy Prevent Label Inference Attacks?	arXiv	2022	Link
Driver Locations Harvesting Attack on pRide	arXiv	2022	Link
ELSR: Extreme Low-Power Super Resolution Network For Mobile Devices	arXiv	2022	Link
Electra: Conditional Generative Model based Predicate-Aware Query Approximation	arXiv	2022	Link
End-To-End Audiovisual Feature Fusion for Active Speaker Detection	arXiv	2022	Link
Evaluating Membership Inference Through Adversarial Robustness	arXiv	2022	Link
Explainable AI via Learning to Optimize	arXiv	2022	Link
Exploiting Digital Surface Models for Inferring Super-Resolution for Remotely Sensed Images	arXiv	2022	Link
Exploring Effects of Computational Parameter Changes to Image Recognition Systems	arXiv	2022	Link
Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems	arXiv	2022	Link
Faithful learning with sure data for lung nodule diagnosis	arXiv	2022	Link
Fast Community Detection based on Graph Autoencoder Reconstruction	arXiv	2022	Link
Fast predicting the complex nonlinear dynamics of mode-locked fiber laser by a recurrent neural network with prior information feeding	arXiv	2022	Link
Federated Geometric Monte Carlo Clustering to Counter Non-IID Datasets	arXiv	2022	Link
Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits	arXiv	2022	Link
FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation	arXiv	2022	Link
GASCN: Graph Attention Shape Completion Network	arXiv	2022	Link
Generating gender-ambiguous voices for privacy-preserving speech recognition	arXiv	2022	Link
Generative Models with Information-Theoretic Protection Against Membership Inference Attacks	arXiv	2022	Link
Graphical Model Inference with Erosely Measured Data	arXiv	2022	Link
Graphical model inference with external network data	arXiv	2022	Link
Group Property Inference Attacks Against Graph Neural Networks	arXiv	2022	Link
Hardening DNNs against Transfer Attacks during Network Compression using Greedy Adversarial Pruning	arXiv	2022	Link
Hidden Schema Networks	arXiv	2022	Link
Hidet: Task-Mapping Programming Paradigm for Deep Learning Tensor Programs	arXiv	2022	Link
Holistic risk assessment of inference attacks in machine learning	arXiv	2022	Link
How to Combine Membership-Inference Attacks on Multiple Updated Models	arXiv	2022	Link
I Can Read Your Mind: Control Mechanism Secrecy of Networked Dynamical Systems under Inference Attacks	arXiv	2022	Link
I-GWAS: Privacy-Preserving Interdependent Genome-Wide Association Studies	arXiv	2022	Link
ICSML: Industrial Control Systems ML Framework for native inference using IEC 61131-3 code	arXiv	2022	Link
IR2Net: Information Restriction and Information Recovery for Accurate Binary Neural Networks	arXiv	2022	Link
Identity Preserving Loss for Learned Image Compression	arXiv	2022	Link
Impact of L1 Batch Normalization on Analog Noise Resistant Property of Deep Learning Models	arXiv	2022	Link
Improving the Robustness of Summarization Models by Detecting and Removing Input Noise	arXiv	2022	Link
InFi: End-to-End Learning to Filter Input for Resource-Efficiency in Mobile-Centric Inference	arXiv	2022	Link
Inferring Attack Relations for Gradual Semantics	arXiv	2022	Link
Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack	arXiv	2022	Link
Inferring Sensitive Attributes from Model Explanations	arXiv	2022	Link
Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel Images	arXiv	2022	Link
Investigations of Performance and Bias in Human-AI Teamwork in Hiring	arXiv	2022	Link
Joint Protection Scheme for Deep Neural Network Hardware Accelerators and Models	arXiv	2022	Link
LDL: A Defense for Label-Based Membership Inference Attacks	arXiv	2022	Link
LPGNet: Link Private Graph Networks for Node Classification	arXiv	2022	Link
LTU Attacker for Membership Inference	arXiv	2022	Link
Label-Only Membership Inference Attack against Node-Level Graph Neural Networks	arXiv	2022	Link
Large-Scale Privacy-Preserving Network Embedding against Private Link Inference Attacks	arXiv	2022	Link
Learning Interacting Dynamical Systems with Latent Gaussian Process ODEs	arXiv	2022	Link
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains	arXiv	2022	Link
Lessons Learned: Defending Against Property Inference Attacks	arXiv	2022	Link
Leveraging Disentangled Representations to Improve Vision-Based Keystroke Inference Attacks Under Low Data	arXiv	2022	Link
Local Model Reconstruction Attacks in Federated Learning and their Uses	arXiv	2022	Link
Long Document Summarization with Top-down and Bottom-up Inference	arXiv	2022	Link
MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members	arXiv	2022	Link
MLink: Linking Black-Box Models from Multiple Domains for Collaborative Inference	arXiv	2022	Link
MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning	arXiv	2022	Link
Membership Inference Attack Using Self Influence Functions	arXiv	2022	Link
Membership Inference Attacks Against Latent Factor Model	arXiv	2022	Link
Membership Inference Attacks Against Text-to-image Generation Models	arXiv	2022	Link
Membership Inference Attacks and Defenses in Neural Network Pruning	arXiv	2022	Link
Membership Inference Attacks by Exploiting Loss Trajectory	arXiv	2022	Link
Membership Inference Attacks via Adversarial Examples	arXiv	2022	Link
Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation	arXiv	2022	Link
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models	arXiv	2022	Link
Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference	arXiv	2022	Link
Mixed Precision Quantization to Tackle Gradient Leakage Attacks in Federated Learning	arXiv	2022	Link
Motion-related Artefact Classification Using Patch-based Ensemble and Transfer Learning in Cardiac MRI	arXiv	2022	Link
Muffin: Testing Deep Learning Libraries via Neural Architecture Fuzzing	arXiv	2022	Link
Multi-Wavelength Observations Of A New Redback Millisecond Pulsar 4FGL J1910.7-5320	arXiv	2022	Link
Multi-blank Transducers for Speech Recognition	arXiv	2022	Link
NEDMP: Neural Enhanced Dynamic Message Passing	arXiv	2022	Link
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks	arXiv	2022	Link
NeuralVDB: High-resolution Sparse Volume Representation using Hierarchical Neural Networks	arXiv	2022	Link
No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy"	arXiv	2022	Link
Nonequilibrium Statistical Mechanics and Optimal Prediction of Partially-Observed Complex Systems	arXiv	2022	Link
Nonparametric Embeddings of Sparse High-Order Interaction Events	arXiv	2022	Link
Normalized additional velocity distribution: testing the radial profile of dark matter halos and MOND	arXiv	2022	Link
Numerical Stability of DeepGOPlus Inference	arXiv	2022	Link
OLIVE: Oblivious Federated Learning on Trusted Execution Environment against the risk of sparsification	arXiv	2022	Link
ORCA: A Network and Architecture Co-design for Offloading us-scale Datacenter Applications	arXiv	2022	Link
On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models	arXiv	2022	Link
On the Alignment of Group Fairness with Attribute Privacy	arXiv	2022	Link
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel	arXiv	2022	Link
On the Privacy Properties of GAN-generated Samples	arXiv	2022	Link
On the Risks of Collecting Multidimensional Data Under Local Differential Privacy	arXiv	2022	Link
On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models	arXiv	2022	Link
PIE: a Parameter and Inference Efficient Solution for Large Scale Knowledge Graph Embedding Reasoning	arXiv	2022	Link
PROVGEN: A Privacy-Preserving Approach for Outcome Validation in Genomic Research	arXiv	2022	Link
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference	arXiv	2022	Link
Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning	arXiv	2022	Link
Play It Cool: Dynamic Shifting Prevents Thermal Throttling	arXiv	2022	Link
Post-Training Quantization for Cross-Platform Learned Image Compression	arXiv	2022	Link
Power priors for replication studies	arXiv	2022	Link
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning	arXiv	2022	Link
PressureVision: Estimating Hand Pressure from a Single RGB Image	arXiv	2022	Link
Privacy Against Inference Attacks in Vertical Federated Learning	arXiv	2022	Link
Privacy-preserving Generative Framework Against Membership Inference Attacks	arXiv	2022	Link
Probabilistic Inverse Modeling: An Application in Hydrology	arXiv	2022	Link
Probabilistic forecasting of bus travel time with a Bayesian Gaussian mixture model	arXiv	2022	Link
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning	arXiv	2022	Link
Protecting Global Properties of Datasets with Distribution Privacy Mechanisms	arXiv	2022	Link
Provable Membership Inference Privacy	arXiv	2022	Link
Psychiatric Scale Guided Risky Post Screening for Early Detection of Depression	arXiv	2022	Link
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks	arXiv	2022	Link
Quantifying Uncertainty with Probabilistic Machine Learning Modeling in Wireless Sensing	arXiv	2022	Link
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances	arXiv	2022	Link
Recent dark matter results from the GAMBIT collaboration	arXiv	2022	Link
Reconstruction-guided attention improves the robustness and shape processing of neural networks	arXiv	2022	Link
Rethinking with Retrieval: Faithful Large Language Model Inference	arXiv	2022	Link
Revisiting Distance Metric Learning for Few-Shot Natural Language Classification	arXiv	2022	Link
Rigorous Assessment of Model Inference Accuracy using Language Cardinality	arXiv	2022	Link
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?	arXiv	2022	Link
SAMP: A Model Inference Toolkit of Post-Training Quantization for Text Processing via Self-Adaptive Mixed-Precision	arXiv	2022	Link
SNAP: Efficient Extraction of Private Properties with Poisoning	arXiv	2022	Link
Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment	arXiv	2022	Link
Scaling up Trustless DNN Inference with Zero-Knowledge Proofs	arXiv	2022	Link
Schrodinger dynamics and Berry phase of undulatory locomotion	arXiv	2022	Link
Secure Forward Aggregation for Vertical Federated Neural Networks	arXiv	2022	Link
Semantic Segmentation of Fruits on Multi-sensor Fused Data in Natural Orchards	arXiv	2022	Link
Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning	arXiv	2022	Link
Sequential Importance Sampling for Hybrid Model Bayesian Inference to Support Bioprocess Mechanism Learning and Robust Control	arXiv	2022	Link
Sequential Recommendation with Causal Behavior Discovery	arXiv	2022	Link
Serving Deep Learning Models with Deduplication from Relational Databases	arXiv	2022	Link
Shfl-BW: Accelerating Deep Neural Network Inference with Tensor-Core Aware Weight Pruning	arXiv	2022	Link
Shielding Federated Learning Systems against Inference Attacks with ARM TrustZone	arXiv	2022	Link
SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models	arXiv	2022	Link
Similarity Distribution based Membership Inference Attack on Person Re-identification	arXiv	2022	Link
Similarity-based Label Inference Attack against Training and Inference of Split Learning	arXiv	2022	Link
Slim: interoperable slide microscopy viewer and annotation tool for imaging data science and computational pathology	arXiv	2022	Link
Smart App Attack: Hacking Deep Learning Models in Android Apps	arXiv	2022	Link
Solving Price Per Unit Problem Around the World: Formulating Fact Extraction as Question Answering	arXiv	2022	Link
Subject Membership Inference Attacks in Federated Learning	arXiv	2022	Link
Supporting Vision-Language Model Inference with Confounder-pruning Knowledge Prompt	arXiv	2022	Link
Symbolic analysis meets federated learning to enhance malware identifier	arXiv	2022	Link
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption	arXiv	2022	Link
Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI	arXiv	2022	Link
The Effects of Partitioning Strategies on Energy Consumption in Distributed CNN Inference at The Edge	arXiv	2022	Link
Towards Global-Scale Crowd+AI Techniques to Map and Assess Sidewalks for People with Disabilities	arXiv	2022	Link
Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning	arXiv	2022	Link
Towards Sparsified Federated Neuroimaging Models via Weight Pruning	arXiv	2022	Link
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets	arXiv	2022	Link
Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer	arXiv	2022	Link
Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future Directions	arXiv	2022	Link
Unintended Memorization and Timing Attacks in Named Entity Recognition Models	arXiv	2022	Link
User-Level Membership Inference Attack against Metric Embedding Learning	arXiv	2022	Link
Using Machine Learning to Link Black Hole Accretion Flows with Spatially Resolved Polarimetric Observables	arXiv	2022	Link
VDL-Surrogate: A View-Dependent Latent-based Model for Parameter Space Exploration of Ensemble Simulations	arXiv	2022	Link
VFLens: Co-design the Modeling Process for Efficient Vertical Federated Learning via Visualization	arXiv	2022	Link
VSA: Reconfigurable Vectorwise Spiking Neural Network Accelerator	arXiv	2022	Link
White-box Membership Attack Against Machine Learning Based Retinopathy Classification	arXiv	2022	Link
l-Leaks: Membership Inference Attacks with Logits	arXiv	2022	Link

2021

Title	Venue	Year	Link
"How Does It Detect A Malicious App?" Explaining the Predictions of AI-based Android Malware Detector	arXiv	2021	Link
A Generic Approach for Enhancing GANs by Regularized Latent Optimization	arXiv	2021	Link
A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning	arXiv	2021	Link
A Shuffling Framework for Local Differential Privacy	arXiv	2021	Link
A Taxonomy for Inference in Causal Model Families	arXiv	2021	Link
ARM-Net: Adaptive Relation Modeling Network for Structured Data	arXiv	2021	Link
Accounting for not-at-random missingness through imputation stacking	arXiv	2021	Link
Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference Perspective	arXiv	2021	Link
Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications	arXiv	2021	Link
All-You-Can-Fit 8-Bit Flexible Floating-Point Format for Accurate and Memory-Efficient Inference of Deep Neural Networks	arXiv	2021	Link
An Analytics Framework for Heuristic Inference Attacks against Industrial Control Systems	arXiv	2021	Link
An Efficient DP-SGD Mechanism for Large Scale NLP Models	arXiv	2021	Link
An Optimal Algorithm for Finding Champions in Tournament Graphs	arXiv	2021	Link
Approximate Latent Force Model Inference	arXiv	2021	Link
Artificial intelligence for detection and quantification of rust and leaf miner in coffee crop	arXiv	2021	Link
Auto-Split: A General Framework of Collaborative Edge-Cloud AI	arXiv	2021	Link
B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-Learning	arXiv	2021	Link
Bayesian Logistic Shape Model Inference: application to cochlea image segmentation	arXiv	2021	Link
Bias Loss for Mobile Neural Networks	arXiv	2021	Link
Boosting Mobile CNN Inference through Semantic Memory	arXiv	2021	Link
CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization	arXiv	2021	Link
Cardiovascular Disease Prediction using Recursive Feature Elimination and Gradient Boosting Classification Techniques	arXiv	2021	Link
Change-point Detection for Piecewise Exponential Models	arXiv	2021	Link
Characterizing and Taming Resolution in Convolutional Neural Networks	arXiv	2021	Link
CoCoNets: Continuous Contrastive 3D Scene Representations	arXiv	2021	Link
Cognitive factor forming an individual constituent in a driver model inferred from multiplicatory relationships between cognitive sub-factors	arXiv	2021	Link
Combinatorial Resources Auction in Decentralized Edge-Thing Systems Using Blockchain and Differential Privacy	arXiv	2021	Link
Correlation inference attacks against machine learning models	arXiv	2021	Link
DISSECT: Disentangled Simultaneous Explanations via Concept Traversals	arXiv	2021	Link
DRAGON: Determining Regulatory Associations using Graphical models on multi-Omic Networks	arXiv	2021	Link
Data-Driven Inference of High-Accuracy Isostable-Based Dynamical Models in Response to External Inputs	arXiv	2021	Link
Deep State Inference: Toward Behavioral Model Inference of Black-box Software Systems	arXiv	2021	Link
Deep Switching State Space Model (DS$^3$M) for Nonlinear Time Series Forecasting with Regime Switching	arXiv	2021	Link
Defending Against Membership Inference Attacks on Beacon Services	arXiv	2021	Link
Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods	arXiv	2021	Link
Deprojection of external barred galaxies from photometry	arXiv	2021	Link
Differential Privacy for Text Analytics via Natural Text Sanitization	arXiv	2021	Link
Differential Privacy in Aggregated Mobility Networks: Balancing Privacy and Utility	arXiv	2021	Link
Differential Privacy-Based Online Allocations towards Integrating Blockchain and Edge Computing	arXiv	2021	Link
Differentially Private Federated Learning via Inexact ADMM	arXiv	2021	Link
Domain Adaptation without Model Transferring	arXiv	2021	Link
Dual-side Sparse Tensor Core	arXiv	2021	Link
Effective and Privacy preserving Tabular Data Synthesizing	arXiv	2021	Link
Efficient passive membership inference attack in federated learning	arXiv	2021	Link
Enhanced Membership Inference Attacks against Machine Learning Models	arXiv	2021	Link
Exploring Imitation Learning for Autonomous Driving with Feedback Synthesizer and Differentiable Rasterization	arXiv	2021	Link
FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks	arXiv	2021	Link
FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer	arXiv	2021	Link
Fair Active Learning: Solving the Labeling Problem in Insurance	arXiv	2021	Link
Fast Multi-Step Critiquing for VAE-based Recommender Systems	arXiv	2021	Link
Fast and Flexible Human Pose Estimation with HyperPose	arXiv	2021	Link
Fast query-by-example speech search using separable model	arXiv	2021	Link
FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop	arXiv	2021	Link
Formalizing Distribution Inference Risks	arXiv	2021	Link
Formalizing and Estimating Distribution Inference Risks	arXiv	2021	Link
Fragment-Based Test Generation For Web Apps	arXiv	2021	Link
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity	arXiv	2021	Link
Generalization Techniques Empirically Outperform Differential Privacy against Membership Inference	arXiv	2021	Link
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix	arXiv	2021	Link
Graph Embedding for Recommendation against Attribute Inference Attacks	arXiv	2021	Link
Guiding Neural Story Generation with Reader Models	arXiv	2021	Link
How BPE Affects Memorization in Transformers	arXiv	2021	Link
IFBiD: Inference-Free Bias Detection	arXiv	2021	Link
Imprecise Subset Simulation	arXiv	2021	Link
Inference of cell dynamics on perturbation data using adjoint sensitivity	arXiv	2021	Link
Inference of stochastic time series with missing data	arXiv	2021	Link
Inferring couplings in networks across order-disorder phase transitions	arXiv	2021	Link
Knowledge Cross-Distillation for Membership Privacy	arXiv	2021	Link
Label Inference Attacks from Log-loss Scores	arXiv	2021	Link
Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case	arXiv	2021	Link
LightSeq2: Accelerated Training for Transformer-based Models on GPUs	arXiv	2021	Link
Low Pass Filter for Anti-aliasing in Temporal Action Localization	arXiv	2021	Link
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale	arXiv	2021	Link
Mean-Squared Accuracy of Good-Turing Estimator	arXiv	2021	Link
Medical Aegis: Robust adversarial protectors for medical images	arXiv	2021	Link
Membership Inference Attack on Graph Neural Networks	arXiv	2021	Link
Membership Inference Attacks From First Principles	arXiv	2021	Link
Membership Inference Attacks are Easier on Difficult Problems	arXiv	2021	Link
Membership Inference Attacks on Deep Regression Models for Neuroimaging	arXiv	2021	Link
Membership Inference Attacks on Lottery Ticket Networks	arXiv	2021	Link
Membership Inference Attacks on Machine Learning: A Survey	arXiv	2021	Link
Modelling Extremes of Spatial Aggregates of Precipitation using Conditional Methods	arXiv	2021	Link
Multi-institution encrypted medical imaging AI validation without data sharing	arXiv	2021	Link
Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets via Generative Models	arXiv	2021	Link
Near-Optimal Privacy-Utility Tradeoff in Genomic Studies Using Selective SNP Hiding	arXiv	2021	Link
Network Compression for Machine-Learnt Fluid Simulations	arXiv	2021	Link
Network Traffic Shaping for Enhancing Privacy in IoT Systems	arXiv	2021	Link
NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks	arXiv	2021	Link
Node-Level Membership Inference Attacks Against Graph Neural Networks	arXiv	2021	Link
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation	arXiv	2021	Link
On Preference Learning Based on Sequential Bayesian Optimization with Pairwise Comparison	arXiv	2021	Link
On Utility and Privacy in Synthetic Genomic Data	arXiv	2021	Link
On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models	arXiv	2021	Link
On the Importance of Difficulty Calibration in Membership Inference Attacks	arXiv	2021	Link
On the Privacy Risks of Deploying Recurrent Neural Networks in Machine Learning Models	arXiv	2021	Link
Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning	arXiv	2021	Link
Outlier detection in multivariate functional data through a contaminated mixture model	arXiv	2021	Link
PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party Setting	arXiv	2021	Link
PRINS: Scalable Model Inference for Component-based System Logs	arXiv	2021	Link
Pair Lines of Sight Observations of Multiphase Gas Bearing O VI in a Galaxy Environment	arXiv	2021	Link
ParaFold: Paralleling AlphaFold for Large-Scale Predictions	arXiv	2021	Link
Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets	arXiv	2021	Link
Partially Hidden Markov Chain Linear Autoregressive model: inference and forecasting	arXiv	2021	Link
Prediction and Prevention of Pandemics via Graphical Model Inference and Convex Programming	arXiv	2021	Link
Pretrained Cost Model for Distributed Constraint Optimization Problems	arXiv	2021	Link
Privacy Assessment of Federated Learning using Private Personalized Layers	arXiv	2021	Link
Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey	arXiv	2021	Link
Privacy-Preserving Eye-tracking Using Deep Learning	arXiv	2021	Link
Privacy-Preserving Synthetic Location Data in the Real World	arXiv	2021	Link
Product Partition Dynamic Generalized Linear Models	arXiv	2021	Link
Proof of concept of a fast surrogate model of the VMEC code via neural networks in Wendelstein 7-X scenarios	arXiv	2021	Link
Property Inference Attacks Against GANs	arXiv	2021	Link
Quantifying and Mitigating Privacy Risks of Contrastive Learning	arXiv	2021	Link
Quantization Backdoors to Deep Learning Commercial Frameworks	arXiv	2021	Link
Real-time 3D Object Detection using Feature Map Flow	arXiv	2021	Link
RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference	arXiv	2021	Link
Recent Advances in Data-Driven Wireless Communication Using Gaussian Processes: A Comprehensive Survey	arXiv	2021	Link
Reconstructing Test Labels from Noisy Loss Functions	arXiv	2021	Link
Releasing Graph Neural Networks with Differential Privacy Guarantees	arXiv	2021	Link
Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images	arXiv	2021	Link
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model	arXiv	2021	Link
SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning	arXiv	2021	Link
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning	arXiv	2021	Link
SSA: Semantic Structure Aware Inference for Weakly Pixel-Wise Dense Predictions without Cost	arXiv	2021	Link
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization	arXiv	2021	Link
Scalable Spatiotemporally Varying Coefficient Modelling with Bayesian Kernelized Tensor Regression	arXiv	2021	Link
SchedGuard: Protecting against Schedule Leaks Using Linux Containers	arXiv	2021	Link
Secure k-Anonymization over Encrypted Databases	arXiv	2021	Link
Securing Federated Learning: A Covert Communication-based Approach	arXiv	2021	Link
Security Analysis of Capsule Network Inference using Horizontal Collaboration	arXiv	2021	Link
Selective Feature Compression for Efficient Activity Recognition Inference	arXiv	2021	Link
Semantic data discovery from Social Big Data	arXiv	2021	Link
Simultaneously Localize, Segment and Rank the Camouflaged Objects	arXiv	2021	Link
Single frequency CMB B-mode inference with realistic foregrounds from a single training image	arXiv	2021	Link
SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues	arXiv	2021	Link
Source Inference Attacks in Federated Learning	arXiv	2021	Link
SpeakerStew: Scaling to Many Languages with a Triaged Multilingual Text-Dependent and Text-Independent Speaker Verification System	arXiv	2021	Link
Strong lensing signatures of self-interacting dark matter in low-mass halos	arXiv	2021	Link
The Efficiency Misnomer	arXiv	2021	Link
The Far Side of DNS Amplification: Tracing the DDoS Attack Ecosystem from the Internet Core	arXiv	2021	Link
The HARPS search for southern extra-solar planets XLV. Two Neptune mass planets orbiting HD 13808: a study of stellar activity modelling's impact on planet detection	arXiv	2021	Link
The Influence of Dropout on Membership Inference in Differentially Private Models	arXiv	2021	Link
To Trust or Not To Trust Prediction Scores for Membership Inference Attacks	arXiv	2021	Link
Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices	arXiv	2021	Link
Towards Interpretability of Speech Pause in Dementia Detection using Adversarial Learning	arXiv	2021	Link
Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks	arXiv	2021	Link
Towards Unbiased and Accurate Deferral to Multiple Experts	arXiv	2021	Link
Triple-level Model Inferred Collaborative Network Architecture for Video Deraining	arXiv	2021	Link
Under the Microscope: Interpreting Readability Assessment Models for Filipino	arXiv	2021	Link
Understanding the Spread of COVID-19 Epidemic: A Spatio-Temporal Point Process View	arXiv	2021	Link
Using Python for Model Inference in Deep Learning	arXiv	2021	Link
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization	arXiv	2021	Link
Variable Selection Using Nearest Neighbor Gaussian Processes	arXiv	2021	Link
View Generalization for Single Image Textured 3D Models	arXiv	2021	Link
Web Application Testing: Using Tree Kernels to Detect Near-duplicate States in Automated Model Inference	arXiv	2021	Link
When Are Learned Models Better Than Hash Functions?	arXiv	2021	Link
Who's Afraid of Thomas Bayes?	arXiv	2021	Link
ZLeaks: Passive Inference Attacks on Zigbee based Smart Homes	arXiv	2021	Link

2020

Title	Venue	Year	Link
$R^*$: A robust MCMC convergence diagnostic with uncertainty using decision tree classifiers	arXiv	2020	Link
A Bayesian Fisher-EM algorithm for discriminative Gaussian subspace clustering	arXiv	2020	Link
A Computational Approach to Packet Classification	arXiv	2020	Link
A Fully Hyperbolic Neural Model for Hierarchical Multi-Class Classification	arXiv	2020	Link
A comparative study of convolutional neural network models for wind field downscaling	arXiv	2020	Link
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding	arXiv	2020	Link
Accelerating Multi-Model Inference by Merging DNNs of Different Weights	arXiv	2020	Link
Accelerating Neural Network Inference by Overflow Aware Quantization	arXiv	2020	Link
Adaptive Dense-to-Sparse Paradigm for Pruning Online Recommendation System with Non-Stationary Data	arXiv	2020	Link
Addressing Class-Imbalance Problem in Personalized Ranking	arXiv	2020	Link
Adversarial Privacy Preserving Graph Embedding against Inference Attack	arXiv	2020	Link
Amodal Segmentation Based on Visible Region Segmentation and Shape Prior	arXiv	2020	Link
An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated Learning	arXiv	2020	Link
An Efficient Model Inference Algorithm for Learning-based Testing of Reactive Systems	arXiv	2020	Link
An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks	arXiv	2020	Link
Anonymizing Machine Learning Models	arXiv	2020	Link
BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models	arXiv	2020	Link
Bayesian Inference for Polycrystalline Materials	arXiv	2020	Link
Bayesian estimation of trend components within Markovian regime-switching models for wholesale electricity prices: an application to the South Australian wholesale electricity market	arXiv	2020	Link
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation	arXiv	2020	Link
Bootstrap Aggregation for Point-based Generalized Membership Inference Attacks	arXiv	2020	Link
BraggNN: Fast X-ray Bragg Peak Analysis Using Deep Learning	arXiv	2020	Link
Breaking and Fixing Destructive Code Read Defenses	arXiv	2020	Link
COol Companions ON Ultrawide orbiTS (COCONUTS). I. A High-Gravity T4 Benchmark around an Old White Dwarf and A Re-Examination of the Surface-Gravity Dependence of the L/T Transition	arXiv	2020	Link
CSB-RNN: A Faster-than-Realtime RNN Acceleration Framework with Compressed Structured Blocks	arXiv	2020	Link
Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning?	arXiv	2020	Link
Class Clown: Data Redaction in Machine Unlearning at Enterprise Scale	arXiv	2020	Link
Climbing the WOL: Training for Cheaper Inference	arXiv	2020	Link
Communication-Efficient Edge AI Inference Over Wireless Networks	arXiv	2020	Link
Competing Models: Inferring Exploration Patterns and Information Relevance via Bayesian Model Selection	arXiv	2020	Link
Complaint-driven Training Data Debugging for Query 2.0	arXiv	2020	Link
Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters	arXiv	2020	Link
Compression Boosts Differentially Private Federated Learning	arXiv	2020	Link
Constraints on circum-galactic media from Sunyaev-Zel'dovich effects and X-ray data	arXiv	2020	Link
Cooperative Location Privacy in Vehicular Networks: Why Simple Mix-zones are not Enough	arXiv	2020	Link
DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks	arXiv	2020	Link
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments	arXiv	2020	Link
Data Inference from Encrypted Databases: A Multi-dimensional Order-Preserving Matching Approach	arXiv	2020	Link
Data and Model Dependencies of Membership Inference Attack	arXiv	2020	Link
Data-driven Thermal Model Inference with ARMAX, in Smart Environments, based on Normalized Mutual Information	arXiv	2020	Link
Data-driven model order reduction for granular media	arXiv	2020	Link
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving	arXiv	2020	Link
Differentially Private k-Means Clustering with Guaranteed Convergence	arXiv	2020	Link
Disentangling Drift- and Control- Vector Fields for Interpretable Inference of Control-affine Systems	arXiv	2020	Link
ELMV: an Ensemble-Learning Approach for Analyzing Electrical Health Records with Significant Missing Values	arXiv	2020	Link
Effective Removal of Operational Log Messages: an Application to Model Inference	arXiv	2020	Link
Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in European countries: technical description update	arXiv	2020	Link
Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference	arXiv	2020	Link
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning	arXiv	2020	Link
FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology	arXiv	2020	Link
FedServing: A Federated Prediction Serving Framework Based on Incentive Mechanism	arXiv	2020	Link
Federated Model Distillation with Noise-Free Differential Privacy	arXiv	2020	Link
Finite-Time Model Inference From A Single Noisy Trajectory	arXiv	2020	Link
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel	arXiv	2020	Link
Free Energy Minimization: A Unified Framework for Modelling, Inference, Learning,and Optimization	arXiv	2020	Link
GECKO: Reconciling Privacy, Accuracy and Efficiency in Embedded Deep Learning	arXiv	2020	Link
GP-ETAS: Semiparametric Bayesian inference for the spatio-temporal Epidemic Type Aftershock Sequence model	arXiv	2020	Link
Genome Reconstruction Attacks Against Genomic Data-Sharing Beacons	arXiv	2020	Link
Guess First to Enable Better Compression and Adversarial Robustness	arXiv	2020	Link
Hamiltonian Modeling of Macro-Economic Urban Dynamics	arXiv	2020	Link
Hawkes Processes Modeling, Inference and Control: An Overview	arXiv	2020	Link
Heuristic-based Mining of Service Behavioral Models from Interaction Traces	arXiv	2020	Link
Hey Alexa what did I just type? Decoding smartphone sounds with a voice assistant	arXiv	2020	Link
Hide-and-Seek Privacy Challenge	arXiv	2020	Link
Hybrid Deep Neural Networks to Infer State Models of Black-Box Systems	arXiv	2020	Link
INeRF: Inverting Neural Radiance Fields for Pose Estimation	arXiv	2020	Link
Influencers and the Giant Component: the Fundamental Hardness in Privacy Protection for Socially Contagious Attributes	arXiv	2020	Link
Investigating Membership Inference Attacks under Data Dependencies	arXiv	2020	Link
Is the PPG signal chaotic?	arXiv	2020	Link
Knowledge Distillation for Mobile Edge Computation Offloading	arXiv	2020	Link
Landmark detection in Cardiac Magnetic Resonance Imaging Using A Convolutional Neural Network	arXiv	2020	Link
Learning the Associations of MITRE ATT&CK Adversarial Techniques	arXiv	2020	Link
Less is More: A privacy-respecting Android malware classifier using Federated Learning	arXiv	2020	Link
Local and Central Differential Privacy for Robustness and Privacy in Federated Learning	arXiv	2020	Link
MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing	arXiv	2020	Link
ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning	arXiv	2020	Link
Membership Inference Attacks Against Object Detection Models	arXiv	2020	Link
Membership Inference Attacks and Defenses in Classification Models	arXiv	2020	Link
Membership Leakage in Label-Only Exposures	arXiv	2020	Link
Memory and Computation-Efficient Kernel SVM via Binary Embedding and Ternary Model Coefficients	arXiv	2020	Link
Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps	arXiv	2020	Link
Moving-Resting Process with Measurement Error in Animal Movement Modeling	arXiv	2020	Link
Nearly Optimal Variational Inference for High Dimensional Regression with Shrinkage Priors	arXiv	2020	Link
Neural Network Compression Framework for fast model inference	arXiv	2020	Link
Neural Topic Modeling with Bidirectional Adversarial Training	arXiv	2020	Link
Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference	arXiv	2020	Link
Non-Parametric Graph Learning for Bayesian Graph Neural Networks	arXiv	2020	Link
Non-Volatile Memory Array Based Quantization- and Noise-Resilient LSTM Neural Networks	arXiv	2020	Link
On the Difficulty of Membership Inference Attacks	arXiv	2020	Link
On the spatial and temporal shift in the archetypal seasonal temperature cycle as driven by annual and semi-annual harmonics	arXiv	2020	Link
Optimizing Prediction Serving on Low-Latency Serverless Dataflow	arXiv	2020	Link
Performance evaluation and application of computation based low-cost homogeneous machine learning model algorithm for image classification	arXiv	2020	Link
Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning	arXiv	2020	Link
Privacy and Robustness in Federated Learning: Attacks and Defenses	arXiv	2020	Link
Privacy for All: Demystify Vulnerability Disparity of Differential Privacy against Membership Inference Attack	arXiv	2020	Link
Privacy in Deep Learning: A Survey	arXiv	2020	Link
Privacy-Preserving Synthetic Smart Meters Data	arXiv	2020	Link
Privacy-preserving Voice Analysis via Disentangled Representations	arXiv	2020	Link
Progressive Local Filter Pruning for Image Retrieval Acceleration	arXiv	2020	Link
Quantifying Membership Inference Vulnerability via Generalization Gap and Other Model Metrics	arXiv	2020	Link
RAICC: Revealing Atypical Inter-Component Communication in Android Apps	arXiv	2020	Link
Region-based Energy Neural Network for Approximate Inference	arXiv	2020	Link
Revisiting Membership Inference Under Realistic Assumptions	arXiv	2020	Link
Revisiting the Threat Space for Vision-based Keystroke Inference Attacks	arXiv	2020	Link
Robust Bayesian Inference for Discrete Outcomes with the Total Variation Distance	arXiv	2020	Link
Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries	arXiv	2020	Link
Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization	arXiv	2020	Link
Security and Privacy Preserving Deep Learning	arXiv	2020	Link
Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components	arXiv	2020	Link
ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks	arXiv	2020	Link
Shared Mobile-Cloud Inference for Collaborative Intelligence	arXiv	2020	Link
Sharing Models or Coresets: A Study based on Membership Inference Attack	arXiv	2020	Link
Sketch2CAD: Sequential CAD Modeling by Sketching in Context	arXiv	2020	Link
Stochastic Epidemic Models inference and diagnosis with Poisson Random Measure Data Augmentation	arXiv	2020	Link
Stochastic L-system Inference from Multiple String Sequence Inputs	arXiv	2020	Link
Stochastic Variational Bayesian Inference for a Nonlinear Forward Model	arXiv	2020	Link
Strengthening Order Preserving Encryption with Differential Privacy	arXiv	2020	Link
Synthetic Data -- Anonymisation Groundhog Day	arXiv	2020	Link
Systematic Evaluation of Privacy Risks of Machine Learning Models	arXiv	2020	Link
Technologies for Trustworthy Machine Learning: A Survey in a Socio-Technical Context	arXiv	2020	Link
Test and Visualization of Covariance Properties for Multivariate Spatio-Temporal Random Fields	arXiv	2020	Link
Testing the Quasar Hubble Diagram with LISA Standard Sirens	arXiv	2020	Link
The photometric and polarimetric variability of magnetic O-type stars	arXiv	2020	Link
Threats to Federated Learning: A Survey	arXiv	2020	Link
To what extent do human explanations of model behavior align with actual model behavior?	arXiv	2020	Link
Towards Question-based Recommender Systems	arXiv	2020	Link
TransMIA: Membership Inference Attacks Using Transfer Shadow Training	arXiv	2020	Link
Tree-AMP: Compositional Inference with Tree Approximate Message Passing	arXiv	2020	Link
Unleashing the Tiger: Inference Attacks on Split Learning	arXiv	2020	Link
Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control	arXiv	2020	Link
Unsupervised Part Discovery by Unsupervised Disentanglement	arXiv	2020	Link
Use the Spear as a Shield: A Novel Adversarial Example based Privacy-Preserving Technique against Membership Inference Attacks	arXiv	2020	Link
Visually-Grounded Planning without Vision: Language Models Infer Detailed Plans from High-level Instructions	arXiv	2020	Link
Wavesplit: End-to-End Speech Separation by Speaker Clustering	arXiv	2020	Link
WeiPS: a symmetric fusion model framework for large-scale online learning	arXiv	2020	Link
When Ensembling Smaller Models is More Efficient than Single Large Models	arXiv	2020	Link
Woodpecker-DL: Accelerating Deep Neural Networks via Hardware-Aware Multifaceted Optimizations	arXiv	2020	Link
ZipPhone: Protecting user location privacy from cellular service providers	arXiv	2020	Link
Zoom on the Keystrokes: Exploiting Video Calls for Keystroke Inference Attacks	arXiv	2020	Link

2019

Title	Venue	Year	Link
A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices	arXiv	2019	Link
A Stochastic Block Model Approach for the Analysis of Multilevel Networks: an Application to the Sociology of Organizations	arXiv	2019	Link
A Unified Optimization Approach for CNN Model Inference on Integrated GPUs	arXiv	2019	Link
A frequentist analysis of three right-handed neutrinos with GAMBIT	arXiv	2019	Link
A new method for flow-based network intrusion detection using the inverse Potts model	arXiv	2019	Link
A new perspective from a Dirichlet model for forecasting outstanding liabilities of nonlife insurers	arXiv	2019	Link
Accelerating Proposal Generation Network for \\Fast Face Detection on Mobile Devices	arXiv	2019	Link
Active Learning for Decision-Making from Imbalanced Observational Data	arXiv	2019	Link
Adaptive Graphical Model Network for 2D Handpose Estimation	arXiv	2019	Link
Alleviating Privacy Attacks via Causal Learning	arXiv	2019	Link
An Empirical Study on Practicality of Specification Mining Algorithms on a Real-world Application	arXiv	2019	Link
An Empirical Study on the Intrinsic Privacy of SGD	arXiv	2019	Link
Assessing differentially private deep learning with Membership Inference	arXiv	2019	Link
Attacking Graph-based Classification via Manipulating the Graph Structure	arXiv	2019	Link
Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns	arXiv	2019	Link
Bayesian Gamma-Negative Binomial Modeling of Single-Cell RNA Sequencing Data	arXiv	2019	Link
Bayesian Temporal Factorization for Multidimensional Time Series Prediction	arXiv	2019	Link
Bayesian leave-one-out cross-validation for large data	arXiv	2019	Link
Beyond Similarity: Relation Embedding with Dual Attentions for Item-based Recommendation	arXiv	2019	Link
Channel-by-Channel Demosaicking Networks with Embedded Spectral Correlation	arXiv	2019	Link
Computational landscape of user behavior on social media	arXiv	2019	Link
Consensus Monte Carlo for Random Subsets using Shared Anchors	arXiv	2019	Link
Content Enhanced BERT-based Text-to-SQL Generation	arXiv	2019	Link
Cross-Channel Intragroup Sparsity Neural Network	arXiv	2019	Link
Cyber-Social Systems: Modeling, Inference, and Optimal Design	arXiv	2019	Link
Data-driven inference of hidden nodes in networks	arXiv	2019	Link
Deep Gamblers: Learning to Abstain with Portfolio Theory	arXiv	2019	Link
Deep Generative Models for Reject Inference in Credit Scoring	arXiv	2019	Link
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control	arXiv	2019	Link
Deep learning-enabled image quality control in tomographic reconstruction: Robust optical diffraction tomography	arXiv	2019	Link
Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges	arXiv	2019	Link
Disparate Vulnerability to Membership Inference Attacks	arXiv	2019	Link
Eavesdrop the Composition Proportion of Training Labels in Federated Learning	arXiv	2019	Link
Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability	arXiv	2019	Link
Enhanced Seismic Imaging with Predictive Neural Networks for Geophysics	arXiv	2019	Link
Enhancing Multi-model Inference with Natural Selection	arXiv	2019	Link
Evaluating Differentially Private Machine Learning in Practice	arXiv	2019	Link
FPGA-accelerated machine learning inference as a service for particle physics computing	arXiv	2019	Link
Fast Parameter Inference in a Biomechanical Model of the Left Ventricle using Statistical Emulation	arXiv	2019	Link
Functional probabilistic programming for scalable Bayesian modelling	arXiv	2019	Link
GAMBIT and its Application in the Search for Physics Beyond the Standard Model	arXiv	2019	Link
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models	arXiv	2019	Link
Generative Adversarial Networks for Black-Box API Attacks with Limited Training Data	arXiv	2019	Link
Graphical model inference: Sequential Monte Carlo meets deterministic approximations	arXiv	2019	Link
Grounded Human-Object Interaction Hotspots from Video (Extended Abstract)	arXiv	2019	Link
Harnessing the linguistic signal to predict scalar inferences	arXiv	2019	Link
Inferring HIV incidence trends and transmission dynamics with a spatio-temporal HIV epidemic model	arXiv	2019	Link
Informative Visual Storytelling with Cross-modal Rules	arXiv	2019	Link
Joint Interaction and Trajectory Prediction for Autonomous Driving using Graph Neural Networks	arXiv	2019	Link
Joint state-parameter estimation of a nonlinear stochastic energy balance model from sparse noisy data	arXiv	2019	Link
Learning Elastic Constitutive Material and Damping Models	arXiv	2019	Link
Link Prediction Under Imperfect Detection: Collaborative Filtering for Ecological Networks	arXiv	2019	Link
Measuring Membership Privacy on Aggregate Location Time-Series	arXiv	2019	Link
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples	arXiv	2019	Link
Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System?	arXiv	2019	Link
Membership Privacy for Machine Learning Models Through Knowledge Transfer	arXiv	2019	Link
MetaGrasp: Data Efficient Grasping by Affordance Interpreter Network	arXiv	2019	Link
Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection	arXiv	2019	Link
Model Compression with Multi-Task Knowledge Distillation for Web-scale Question Answering System	arXiv	2019	Link
Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System	arXiv	2019	Link
Model inference for Ordinary Differential Equations by parametric polynomial kernel regression	arXiv	2019	Link
Modeling Hierarchical Usage Context for Software Exceptions based on Interaction Data	arXiv	2019	Link
Multi-Objective Hyperparameter Tuning and Feature Selection using Filter Ensembles	arXiv	2019	Link
Multivariate mixed membership modeling: Inferring domain-specific risk profiles	arXiv	2019	Link
New Physics Interpretations with GAMBIT	arXiv	2019	Link
NormGrad: Finding the Pixels that Matter for Training	arXiv	2019	Link
On Inferring Training Data Attributes in Machine Learning Models	arXiv	2019	Link
On the Expressiveness of Approximate Inference in Bayesian Neural Networks	arXiv	2019	Link
On the Privacy Risks of Model Explanations	arXiv	2019	Link
PingPong: Packet-Level Signatures for Smart Home Device Events	arXiv	2019	Link
Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning	arXiv	2019	Link
Privacy-preserving Searchable Databases with Controllable Leakage	arXiv	2019	Link
Quantum approximate Bayesian computation for NMR model inference	arXiv	2019	Link
Query-efficient Meta Attack to Deep Neural Networks	arXiv	2019	Link
Reducing audio membership inference attack accuracy to chance: 4 defenses	arXiv	2019	Link
Robust Membership Encoding: Inference Attacks and Copyright Protection for Deep Learning	arXiv	2019	Link
SNDCNN: Self-normalizing deep CNNs with scaled exponential linear units for speech recognition	arXiv	2019	Link
Scalable Inference of System-level Models from Component Logs	arXiv	2019	Link
Scalable optimal Bayesian classification of single-cell trajectories under regulatory model uncertainty	arXiv	2019	Link
Scientific Image Restoration Anywhere	arXiv	2019	Link
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation	arXiv	2019	Link
Smoothed Inference for Adversarially-Trained Models	arXiv	2019	Link
SuRF: a New Method for Sparse Variable Selection, with Application in Microbiome Data Analysis	arXiv	2019	Link
Synthesis of Realistic ECG using Generative Adversarial Networks	arXiv	2019	Link
TEINet: Towards an Efficient Architecture for Video Recognition	arXiv	2019	Link
TaskShuffler++: Real-Time Schedule Randomization for Reducing Worst-Case Vulnerability to Timing Inference Attacks	arXiv	2019	Link
Techniques for Inferring Context-Free Lindenmayer Systems With Genetic Algorithm	arXiv	2019	Link
Temporal and Aspectual Entailment	arXiv	2019	Link
The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey DR14 LRG sample: structure growth rate measurement from the anisotropic LRG correlation function in the redshift range 0.6 < z < 1.0	arXiv	2019	Link
Topic-Guided Variational Autoencoders for Text Generation	arXiv	2019	Link
Towards Characterizing and Limiting Information Exposure in DNN Layers	arXiv	2019	Link
Un modèle Bayésien de co-clustering de données mixtes	arXiv	2019	Link
Wasserstein $F$-tests and Confidence Bands for the Frèchet Regression of Density Response Curves	arXiv	2019	Link
[Extended version] Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks	arXiv	2019	Link
fbSAT: Automatic Inference of Minimal Finite-State Models of Function Blocks Using SAT Solver	arXiv	2019	Link
privGAN: Protecting GANs from membership inference attacks at low cost	arXiv	2019	Link

2018

Title	Venue	Year	Link
"Bilingual Expert" Can Find Translation Errors	arXiv	2018	Link
A Kernel Embedding-based Approach for Nonstationary Causal Model Inference	arXiv	2018	Link
A Poisson Gamma Probabilistic Model for Latent Node-group Memberships in Dynamic Networks	arXiv	2018	Link
A note on Inflation and the Swampland	arXiv	2018	Link
A note on strong axiomatization of Gödel Justification Logic	arXiv	2018	Link
Active Deep Learning Attacks under Strict Rate Limitations for Online API Calls	arXiv	2018	Link
Arena Model: Inference About Competitions	arXiv	2018	Link
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning	arXiv	2018	Link
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference	arXiv	2018	Link
Balanced Sparsity for Efficient DNN Inference on GPU	arXiv	2018	Link
Bootstrap Based Inference for Sparse High-Dimensional Time Series Models	arXiv	2018	Link
Composable Planning with Attributes	arXiv	2018	Link
DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures	arXiv	2018	Link
Deep Bayesian regression models	arXiv	2018	Link
Deep Structure Inference Network for Facial Action Unit Recognition	arXiv	2018	Link
Deep Structured Prediction with Nonlinear Output Transformations	arXiv	2018	Link
DeepKey: Towards End-to-End Physical Key Replication From a Single Photograph	arXiv	2018	Link
Document Informed Neural Autoregressive Topic Models	arXiv	2018	Link
Document Informed Neural Autoregressive Topic Models with Distributional Prior	arXiv	2018	Link
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices	arXiv	2018	Link
Evolution of the quantum Hall bulk spectrum into chiral edge states	arXiv	2018	Link
Exploiting Unintended Feature Leakage in Collaborative Learning	arXiv	2018	Link
Fisher Efficient Inference of Intractable Models	arXiv	2018	Link
Generative Models for Simulating Mobility Trajectories	arXiv	2018	Link
Geostatistical Rock Physics AVA Inversion	arXiv	2018	Link
Graph Convolutional Neural Networks for Web-Scale Recommender Systems	arXiv	2018	Link
Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation	arXiv	2018	Link
Grounded Human-Object Interaction Hotspots from Video	arXiv	2018	Link
Hierarchical Adversarially Learned Inference	arXiv	2018	Link
Iterative Amortized Inference	arXiv	2018	Link
Learning Latent Fractional dynamics with Unknown Unknowns	arXiv	2018	Link
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models	arXiv	2018	Link
Machine Learning with Membership Privacy using Adversarial Regularization	arXiv	2018	Link
Monitoring through many eyes: Integrating disparate datasets to improve monitoring of the Great Barrier Reef	arXiv	2018	Link
Multi-model inference through projections in model space	arXiv	2018	Link
On Probability and Cosmology: Inference Beyond Data?	arXiv	2018	Link
Optimizing CNN Model Inference on CPUs	arXiv	2018	Link
Probabilistic Bisection with Spatial Metamodels	arXiv	2018	Link
Probabilistic Inference on Noisy Time Series (PINTS)	arXiv	2018	Link
Reliable mass calculation in spherical gravitating systems	arXiv	2018	Link
STTM: A Tool for Short Text Topic Modeling	arXiv	2018	Link
Selective Sampling and Mixture Models in Generative Adversarial Networks	arXiv	2018	Link
Statistical Inference Attack Against PHY-layer Key Extraction and Countermeasures	arXiv	2018	Link
TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions	arXiv	2018	Link
Tevatron Run II combination of the effective leptonic electroweak mixing angle	arXiv	2018	Link
The Milky Way's total satellite population and constraining the mass of the warm dark matter particle	arXiv	2018	Link
The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey DR14 quasar sample: structure growth rate measurement from the anisotropic quasar power spectrum in the redshift range $0.8<z<2.2$	arXiv	2018	Link
Thermodynamics of network model fitting with spectral entropies	arXiv	2018	Link
Towards Demystifying Membership Inference Attacks	arXiv	2018	Link
Towards generalized noise-level dependent crystallographic symmetry classifications of more or less periodic crystal patterns	arXiv	2018	Link
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks	arXiv	2018	Link
Undermining User Privacy on Mobile Devices Using AI	arXiv	2018	Link
Understanding Membership Inferences on Well-Generalized Learning Models	arXiv	2018	Link
Variational Bayesian Monte Carlo	arXiv	2018	Link

2017

Title	Venue	Year	Link
A Message-Passing Algorithm for Graph Isomorphism	arXiv	2017	Link
A novel JEAnS analysis of the Fornax dwarf using evolutionary algorithms: mass follows light with signs of an off-centre merger	arXiv	2017	Link
A statistical model for aggregating judgments by incorporating peer predictions	arXiv	2017	Link
A warm or a cold early Earth? New insights from a 3-D climate-carbon model	arXiv	2017	Link
Accelerated Parallel Non-conjugate Sampling for Bayesian Non-parametric Models	arXiv	2017	Link
Adaptive Inferential Method for Monotone Graph Invariants	arXiv	2017	Link
Bayesian Inference in the Presence of Intractable Normalizing Functions	arXiv	2017	Link
Bayesian Item Response model: a generalised approach for the abilities' distribution using mixtures	arXiv	2017	Link
Bayesian Pairwise Estimation Under Dependent Informative Sampling	arXiv	2017	Link
Causality inference in stochastic systems from neurons to currencies: Profiting from small sample size	arXiv	2017	Link
Constrained Factor Models for High-Dimensional Matrix-Variate Time Series	arXiv	2017	Link
Construction of Latent Descriptor Space and Inference Model of Hand-Object Interactions	arXiv	2017	Link
Context-Aware Generative Adversarial Privacy	arXiv	2017	Link
Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization	arXiv	2017	Link
DarkBit: A GAMBIT module for computing dark matter observables and likelihoods	arXiv	2017	Link
Decision making and uncertainty quantification for individualized treatments	arXiv	2017	Link
Detecting Drivable Area for Self-driving Cars: An Unsupervised Approach	arXiv	2017	Link
Discovery of statistical equivalence classes using computer algebra	arXiv	2017	Link
Dynamic Word Embeddings	arXiv	2017	Link
Exploiting network topology for large-scale inference of nonlinear reaction models	arXiv	2017	Link
First SUSY results with GAMBIT	arXiv	2017	Link
GAMBIT: The Global and Modular Beyond-the-Standard-Model Inference Tool	arXiv	2017	Link
Higher-Order Minimum Cost Lifted Multicuts for Motion Segmentation	arXiv	2017	Link
How Professional Hackers Understand Protected Code while Performing Attack Tasks	arXiv	2017	Link
Improving Gibbs Sampler Scan Quality with DoGS	arXiv	2017	Link
Incomplete graphical model inference via latent tree aggregation	arXiv	2017	Link
Intermolecular correlations are necessary to explain diffuse scattering from protein crystals	arXiv	2017	Link
Juggling Functions Inside a Database	arXiv	2017	Link
Knock Knock, Who's There? Membership Inference on Aggregate Location Data	arXiv	2017	Link
LOGAN: Membership Inference Attacks Against Generative Models	arXiv	2017	Link
Low-dimensional Embeddings for Interpretable Anchor-based Topic Inference	arXiv	2017	Link
Measuring the Physical Conditions in High-Redshift Star-Forming Galaxies: Insights from KBSS-MOSFIRE	arXiv	2017	Link
MeshCloak: A Map-Based Approach for Personalized Location Privacy	arXiv	2017	Link
Missing Data and Prediction	arXiv	2017	Link
Modeling Cooperative Navigation in Dense Human Crowds	arXiv	2017	Link
New Techniques for Inferring L-Systems Using Genetic Algorithm	arXiv	2017	Link
Nudging the particle filter	arXiv	2017	Link
Optimizing noise level for perturbing geo-location data	arXiv	2017	Link
Potential Conditional Mutual Information: Estimators, Properties and Applications	arXiv	2017	Link
Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting	arXiv	2017	Link
Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes	arXiv	2017	Link
SUSY Global Fits	arXiv	2017	Link
Scalable Inference of Ordinary Differential Equation Models of Biochemical Processes	arXiv	2017	Link
Side-Channel Inference Attacks on Mobile Keypads using Smartwatches	arXiv	2017	Link
Stacco: Differentially Analyzing Side-Channel Traces for Detecting SSL/TLS Vulnerabilities in Secure Enclaves	arXiv	2017	Link
Switching and Data Injection Attacks on Stochastic Cyber-Physical Systems: Modeling, Resilient Estimation and Attack Mitigation	arXiv	2017	Link
The p-convolution forest: a method for solving graphical models with additive probabilistic equations	arXiv	2017	Link
Zero-Shot Learning via Class-Conditioned Deep Generative Models	arXiv	2017	Link
walk2friends: Inferring Social Links from Mobility Profiles	arXiv	2017	Link

2016

Title	Venue	Year	Link
A Disk-based Dynamical Constraint on the Mass of the Young Binary DQ Tau	arXiv	2016	Link
A Fused Latent and Graphical Model for Multivariate Binary Data	arXiv	2016	Link
A Model of Selective Advantage for the Efficient Inference of Cancer Clonal Evolution	arXiv	2016	Link
Automated deconvolution of structured mixtures from bulk tumor genomic data	arXiv	2016	Link
C-mix: a high dimensional mixture model for censored durations, with applications to genetic data	arXiv	2016	Link
Combining Random Walks and Nonparametric Bayesian Topic Model for Community Detection	arXiv	2016	Link
Discriminative Embeddings of Latent Variable Models for Structured Data	arXiv	2016	Link
Edward: A library for probabilistic modeling, inference, and criticism	arXiv	2016	Link
Enhanced LSTM for Natural Language Inference	arXiv	2016	Link
Fitting log-linear models in sparse contingency tables using the eMLEloglin R package	arXiv	2016	Link
Heterogeneity Adjustment with Applications to Graphical Model Inference	arXiv	2016	Link
Inference for log Gaussian Cox processes using an approximate marginal posterior	arXiv	2016	Link
Learning Dynamic Hierarchical Models for Anytime Scene Labeling	arXiv	2016	Link
Likelihood-based Parameter Estimation and Comparison of Dynamical Cognitive Models	arXiv	2016	Link
Membership Inference Attacks against Machine Learning Models	arXiv	2016	Link
Minimax Filter: Learning to Preserve Privacy from Inference Attacks	arXiv	2016	Link
Model distinguishability and inference robustness in mechanisms of cholera transmission and loss of immunity	arXiv	2016	Link
Modeling Scalability of Distributed Machine Learning	arXiv	2016	Link
Multivariate peaks over thresholds models	arXiv	2016	Link
Posterior Dispersion Indices	arXiv	2016	Link
Spectral entropies as information-theoretic tools for complex network comparison	arXiv	2016	Link
The Crossover Process: Learnability and Data Protection from Inference Attacks	arXiv	2016	Link
Uncertainty-Driven Black-Box Test Data Generation	arXiv	2016	Link
You are Who You Know and How You Behave: Attribute Inference Attacks via Users' Social Friends and Behaviors	arXiv	2016	Link

2015

Title	Venue	Year	Link
A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution	arXiv	2015	Link
Algorithmic Methods to Infer the Evolutionary Trajectories in Cancer Progression	arXiv	2015	Link
An End-to-End Neural Network for Polyphonic Piano Music Transcription	arXiv	2015	Link
An Inference Attack Model for Flow Table Capacity and Usage: Exploiting the Vulnerability of Flow Table Overflow in Software-Defined Network	arXiv	2015	Link
An eclipsing binary black hole candidate system in the blazar Mrk 421	arXiv	2015	Link
Bayesian Estimation Under Informative Sampling	arXiv	2015	Link
Bayesian mixtures of spatial spline regressions	arXiv	2015	Link
Deep-Spying: Spying using Smartwatch and Deep Learning	arXiv	2015	Link
Derivative-free optimization of rate parameters of capsid assembly models from bulk in vitro data	arXiv	2015	Link
FAQ: Questions Asked Frequently	arXiv	2015	Link
Grand canonical Peierls transition in In/Si(111)	arXiv	2015	Link
MOOCs Meet Measurement Theory: A Topic-Modelling Approach	arXiv	2015	Link
Modeling User Exposure in Recommendation	arXiv	2015	Link
Privacy through Fake yet Semantically Real Traces	arXiv	2015	Link
Robust Bayesian model selection for heavy-tailed linear regression using finite mixtures	arXiv	2015	Link
SEPIA: Search for Proofs Using Inferred Automata	arXiv	2015	Link
Sparse Representation for 3D Shape Estimation: A Convex Relaxation Approach	arXiv	2015	Link
Synthesising Executable Gene Regulatory Networks from Single-cell Gene Expression Data	arXiv	2015	Link
The Globular Cluster System of NGC 6822	arXiv	2015	Link
Tree-Cut for Probabilistic Image Segmentation	arXiv	2015	Link
Variational Auto-encoded Deep Gaussian Processes	arXiv	2015	Link

2014

Title	Venue	Year	Link
Concept-oriented model: inference in hierarchical multidimensional space	arXiv	2014	Link
Efficient Exploration of Multi-Modal Posterior Distributions	arXiv	2014	Link
Model Selection for Topic Models via Spectral Decomposition	arXiv	2014	Link
Nonparametric Latent Tree Graphical Models: Inference, Estimation, and Structure Learning	arXiv	2014	Link
Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons	arXiv	2014	Link
Prolonging the Hide-and-Seek Game: Optimal Trajectory Privacy for Location-Based Services	arXiv	2014	Link
Protecting Locations with Differential Privacy under Temporal Correlations	arXiv	2014	Link
SAME but Different: Fast and High-Quality Gibbs Parameter Estimation	arXiv	2014	Link
Sparse and compositionally robust inference of microbial ecological networks	arXiv	2014	Link
Tracing the Cosmic Metal Evolution in the Low-Redshift Intergalactic Medium	arXiv	2014	Link
Two Novel Defenses against Motion-Based Keystroke Inference Attacks	arXiv	2014	Link

2013

Title	Venue	Year	Link
Backreaction and continuum limit in a closed universe filled with black holes	arXiv	2013	Link
Bayesian State-Space Modelling on High-Performance Hardware Using LibBi	arXiv	2013	Link
Bayesian analysis of measurement error models using INLA	arXiv	2013	Link
Causal Mechanism-based Model Construction	arXiv	2013	Link
Inference for population dynamics in the Neolithic period	arXiv	2013	Link
Intelligent Hybrid Man-Machine Translation Quality Estimation	arXiv	2013	Link
Non-parametric Bayesian modeling of complex networks	arXiv	2013	Link
Spin models inferred from patient data faithfully describe HIV fitness landscapes and enable rational vaccine design	arXiv	2013	Link
Toward Security Verification against Inference Attacks on Data Trees	arXiv	2013	Link
Towards Connected Enterprises: The Business Network System	arXiv	2013	Link
Transdimensional Approximate Bayesian Computation for Inference on Invasive Species Models with Latent Variables of Unknown Dimension	arXiv	2013	Link

2012

Title	Venue	Year	Link
A Copula Based Bayesian Approach for Paid-Incurred Claims Models for Non-Life Insurance Reserving	arXiv	2012	Link
A Practical Algorithm for Topic Modeling with Provable Guarantees	arXiv	2012	Link
Comparing compact binary parameter distributions I: Methods	arXiv	2012	Link
Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling	arXiv	2012	Link
Distribution of the heavy elements throughout the extended narrow line region of the Seyfert galaxy NGC 7212	arXiv	2012	Link
Fast Accelerated Failure Time Modeling for Case-Cohort Data	arXiv	2012	Link
IDS: An Incremental Learning Algorithm for Finite Automata	arXiv	2012	Link
Inferring Latent Structure From Mixed Real and Categorical Relational Data	arXiv	2012	Link
Probabilistic Theorem Proving	arXiv	2012	Link
Role Mining with Probabilistic Models	arXiv	2012	Link
Stochastic Optimal Control in Continuous Space-Time Multi-Agent Systems	arXiv	2012	Link
Sum-Product Networks: A New Deep Architecture	arXiv	2012	Link
Symbolic Planning and Control Using Game Theory and Grammatical Inference	arXiv	2012	Link
The Effect of Nonstationarity on Models Inferred from Neural Data	arXiv	2012	Link

2011

Title	Venue	Year	Link
Bayesian inference of galaxy formation from the K-band luminosity function of galaxies: tensions between theory and observation	arXiv	2011	Link
Model Inference with Reference Priors	arXiv	2011	Link
Robust estimation of latent tree graphical models: Inferring hidden states with inexact parameters	arXiv	2011	Link

2010

Title	Venue	Year	Link
Conan: a platform for complex network analysis	arXiv	2010	Link
Constraining the shape of a gravity anomalous body using reversible jump Markov chain Monte Carlo	arXiv	2010	Link
Learning sparse representations of depth	arXiv	2010	Link
Sparse Linear Identifiable Multivariate Modeling	arXiv	2010	Link
Substructure lensing in galaxy clusters as a constraint on low-mass sterile neutrinos in tensor-vector-scalar theory: The straight arc of Abell 2390	arXiv	2010	Link
The survival of dynamical fossils in dwarf spheroidal galaxies in conventional and modified dynamics	arXiv	2010	Link

2009

Title	Venue	Year	Link
Collaborative Training in Sensor Networks: A graphical model approach	arXiv	2009	Link
Estimating infectious disease parameters from data on social contacts and serological status	arXiv	2009	Link
Fractal Characterizations of MAX Statistical Distribution in Genetic Association Studies	arXiv	2009	Link
Optimal control as a graphical model inference problem	arXiv	2009	Link
Statistical methods for cosmological parameter selection and estimation	arXiv	2009	Link

2008

Title	Venue	Year	Link
A comparison of the Benjamini-Hochberg procedure with some Bayesian rules for multiple testing	arXiv	2008	Link
A robust correlation between growth rate and amplitude of solar cycles: consequences for prediction methods	arXiv	2008	Link
Approximate Bayesian computation (ABC) gives exact results under the assumption of model error	arXiv	2008	Link
Knowledge Acquisition by Networks of Interacting Agents in the Presence of Observation Errors	arXiv	2008	Link
Relative Entropy and Statistics	arXiv	2008	Link

2007

Title	Venue	Year	Link
Is WMAP3 normalization compatible with the X-Ray cluster abundance?	arXiv	2007	Link

2004

Title	Venue	Year	Link
Optimization of Bound Disjunctive Queries with Constraints	arXiv	2004	Link

2002

Title	Venue	Year	Link
Facets of confinement and dynamical chiral symmetry breaking	arXiv	2002	Link

2001

Title	Venue	Year	Link
The Physical Foundation of the Quark Model: the Quark Model as an approximation of the BCC Model	arXiv	2001	Link