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Membership Inference Attack

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Showing 101–150 of 186 papers

TitleStatusHype
On the Impact of Uncertainty and Calibration on Likelihood-Ratio Membership Inference Attacks—0
Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning—0
Unlearning Clients, Features and Samples in Vertical Federated Learning—0
Unveiling Structural Memorization: Structural Membership Inference Attack for Text-to-Image Diffusion Models—0
Unveiling Synthetic Faces: How Synthetic Datasets Can Expose Real Identities—0
User-Level Membership Inference Attack against Metric Embedding Learning—0
WaKA: Data Attribution using K-Nearest Neighbors and Membership Privacy Principles—0
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning—0
White-box Membership Attack Against Machine Learning Based Retinopathy Classification—0
Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks?—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
A Comprehensive Study of Privacy Risks in Curriculum Learning—0
AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation—0
A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures—0
A hierarchical approach for assessing the vulnerability of tree-based classification models to membership inference attack—0
An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms—0
An Efficient Subpopulation-based Membership Inference Attack—0
A new membership inference attack that spots memorization in generative and predictive models: Loss-Based with Reference Model algorithm (LBRM)—0
An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks—0
An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks—0
A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information—0
A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis—0
A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models—0
AugMixCloak: A Defense against Membership Inference Attacks via Image Transformation—0
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models—0
A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location Data—0
A Blessing of Dimensionality in Membership Inference through Regularization—0
Black-Box Training Data Identification in GANs via Detector Networks—0
Bounding Information Leakage in Machine Learning—0
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature—0
DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks—0
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models—0
Defending Model Inversion and Membership Inference Attacks via Prediction Purification—0
De-identification is not always enough—0
Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation—0
Differentially Private Data Generative Models—0
Do Backdoors Assist Membership Inference Attacks?—0
Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk?—0
DP-GPL: Differentially Private Graph Prompt Learning—0
Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning—0
Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability—0
Efficient Membership Inference Attacks by Bayesian Neural Network—0
Epsilon*: Privacy Metric for Machine Learning Models—0
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment—0
Federated Graph Condensation with Information Bottleneck Principles—0
Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models—0
Graph-Level Label-Only Membership Inference Attack against Graph Neural Networks—0
Holistic risk assessment of inference attacks in machine learning—0
Identity-Focused Inference and Extraction Attacks on Diffusion Models—0
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