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Membership Inference Attack

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Showing 126–150 of 186 papers

TitleStatusHype
Orthogonal Soft Pruning for Efficient Class Unlearning—0
Over-the-Air Membership Inference Attacks as Privacy Threats for Deep Learning-based Wireless Signal Classifiers—0
White-box Membership Attack Against Machine Learning Based Retinopathy Classification—0
Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning—0
An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks—0
A new membership inference attack that spots memorization in generative and predictive models: Loss-Based with Reference Model algorithm (LBRM)—0
Preserving Privacy in GANs Against Membership Inference Attack—0
Unlearning Clients, Features and Samples in Vertical Federated Learning—0
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models—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
Privacy-Preserving Collaborative Learning through Feature Extraction—0
Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes—0
Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds—0
Privacy Vulnerabilities in Marginals-based Synthetic Data—0
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores—0
Quantifying Membership Inference Vulnerability via Generalization Gap and Other Model Metrics—0
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks—0
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods—0
User-Level Membership Inference Attack against Metric Embedding Learning—0
Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach—0
Reducing audio membership inference attack accuracy to chance: 4 defenses—0
An Efficient Subpopulation-based Membership Inference Attack—0
An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms—0
WaKA: Data Attribution using K-Nearest Neighbors and Membership Privacy Principles—0
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