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Membership Inference Attack

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Showing 51–100 of 186 papers

TitleStatusHype
DocMIA: Document-Level Membership Inference Attacks against DocVQA ModelsCode0
Privacy Attacks on Image AutoRegressive ModelsCode0
Tool Unlearning for Tool-Augmented LLMs—0
Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach—0
Differentially Private Steering for Large Language Model AlignmentCode0
Unlearning Clients, Features and Samples in Vertical Federated Learning—0
Tag&Tab: Pretraining Data Detection in Large Language Models Using Keyword-Based Membership Inference Attack—0
AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation—0
A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models—0
Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning—0
Membership Inference Attack against Long-Context Large Language Models—0
On the Privacy Risk of In-context Learning—0
TDDBench: A Benchmark for Training data detection—0
Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity RecognitionCode0
WaKA: Data Attribution using K-Nearest Neighbors and Membership Privacy Principles—0
Unveiling Synthetic Faces: How Synthetic Datasets Can Expose Real Identities—0
Identity-Focused Inference and Extraction Attacks on Diffusion Models—0
Privacy Vulnerabilities in Marginals-based Synthetic Data—0
Membership Privacy Evaluation in Deep Spiking Neural Networks—0
Subject Data Auditing via Source Inference Attack in Cross-Silo Federated Learning—0
Membership Inference Attacks Against In-Context Learning—0
Membership Inference Attack Against Masked Image Modeling—0
Pathway to Secure and Trustworthy ZSM for LLMs: Attacks, Defense, and Opportunities—0
Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning—0
SeqMIA: Sequential-Metric Based Membership Inference AttackCode0
Unveiling Structural Memorization: Structural Membership Inference Attack for Text-to-Image Diffusion Models—0
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment—0
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature—0
A Method to Facilitate Membership Inference Attacks in Deep Learning ModelsCode0
A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location Data—0
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods—0
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models—0
Do Parameters Reveal More than Loss for Membership Inference?Code0
Semantic Membership Inference Attack against Large Language Models—0
Machine Unlearning for Uplink Interference Cancellation—0
Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation—0
Towards Black-Box Membership Inference Attack for Diffusion Models—0
The Mosaic Memory of Large Language ModelsCode0
Many-Shot Regurgitation (MSR) Prompting—0
GLiRA: Black-Box Membership Inference Attack via Knowledge DistillationCode0
Federated Graph Condensation with Information Bottleneck Principles—0
Towards Reliable Empirical Machine Unlearning Evaluation: A Game-Theoretic View—0
A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures—0
τ: Gradient-based and Task-Agnostic machine Unlearning—0
Low-Cost Privacy-Preserving Decentralized Learning—0
On the Impact of Uncertainty and Calibration on Likelihood-Ratio Membership Inference Attacks—0
Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks?—0
Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning—0
De-identification is not always enough—0
Inference Attacks Against Face Recognition Model without Classification Layers—0
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