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
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

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

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

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.

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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.

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.

Expand Proc. VLDB Endow.

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.

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.

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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.

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

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