SOTAVerified

Membership Inference Attack

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 186 papers

TitleStatusHype
Tool Unlearning for Tool-Augmented LLMs—0
Membership Inference Attacks on Knowledge Graphs—0
Towards Black-Box Membership Inference Attack for Diffusion Models—0
A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location Data—0
Membership Inference Attacks on Sequence Models—0
Membership Inference Attack Susceptibility of Clinical Language Models—0
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models—0
Membership inference attack with relative decision boundary distance—0
Membership Inference on Word Embedding and Beyond—0
Membership Privacy Evaluation in Deep Spiking Neural Networks—0
Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation—0
AugMixCloak: A Defense against Membership Inference Attacks via Image Transformation—0
Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models—0
A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models—0
A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis—0
A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information—0
Towards More Realistic Membership Inference Attacks on Large Diffusion Models—0
Towards Reliable Empirical Machine Unlearning Evaluation: A Game-Theoretic View—0
τ: Gradient-based and Task-Agnostic machine Unlearning—0
An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks—0
On the Effectiveness of Regularization Against Membership Inference Attacks—0
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel—0
Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning—0
On the Privacy Risk of In-context Learning—0
On the Impact of Uncertainty and Calibration on Likelihood-Ratio Membership Inference Attacks—0
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
Show:102550
← PrevPage 3 of 4Next →

No leaderboard results yet.