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Membership Inference Attack

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Showing 101–150 of 186 papers

TitleStatusHype
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models—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
Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach—0
Reducing audio membership inference attack accuracy to chance: 4 defenses—0
Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries—0
Securing Genomic Data Against Inference Attacks in Federated Learning Environments—0
Semantic Membership Inference Attack against Large Language Models—0
Set-Membership Inference Attacks using Data Watermarking—0
Sharing Models or Coresets: A Study based on Membership Inference Attack—0
Subject Data Auditing via Source Inference Attack in Cross-Silo Federated Learning—0
Tag&Tab: Pretraining Data Detection in Large Language Models Using Keyword-Based Membership Inference Attack—0
Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge—0
Task Contamination: Language Models May Not Be Few-Shot Anymore—0
TDDBench: A Benchmark for Training data detection—0
Tool Unlearning for Tool-Augmented LLMs—0
Towards Black-Box Membership Inference Attack for Diffusion Models—0
Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models—0
Towards More Realistic Membership Inference Attacks on Large Diffusion Models—0
Towards Reliable Empirical Machine Unlearning Evaluation: A Game-Theoretic View—0
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
Membership Inference Attacks Against In-Context Learning—0
Membership Inference Attacks for Face Images Against Fine-Tuned Latent Diffusion Models—0
Membership Inference Attacks on Knowledge Graphs—0
Membership Inference Attacks on Sequence Models—0
Membership Inference Attack Susceptibility of Clinical Language Models—0
Membership inference attack with relative decision boundary distance—0
Membership Inference on Word Embedding and Beyond—0
LTU Attacker for Membership InferenceCode0
Privacy in Practice: Private COVID-19 Detection in X-Ray Images (Extended Version)Code0
Low-Cost High-Power Membership Inference AttacksCode0
Membership Inference Attacks against Machine Learning ModelsCode0
Membership Inference Attacks Against Object Detection ModelsCode0
GLiRA: Black-Box Membership Inference Attack via Knowledge DistillationCode0
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative ModelsCode0
Understanding Membership Inferences on Well-Generalized Learning ModelsCode0
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