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Membership Inference Attack

Papers

Showing 2650 of 186 papers

TitleStatusHype
Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and ImplicationsCode1
Membership Inference Attacks on Machine Learning: A SurveyCode1
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning ModelsCode1
Membership Inference Attack on Graph Neural NetworksCode1
Practical Blind Membership Inference Attack via Differential ComparisonsCode1
When Machine Unlearning Jeopardizes PrivacyCode1
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial ExamplesCode1
Synthesis of Realistic ECG using Generative Adversarial NetworksCode1
Machine Learning with Membership Privacy using Adversarial RegularizationCode1
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning ModelsCode1
Orthogonal Soft Pruning for Efficient Class Unlearning0
Apollo: A Posteriori Label-Only Membership Inference Attack Towards Machine UnlearningCode0
When Better Features Mean Greater Risks: The Performance-Privacy Trade-Off in Contrastive LearningCode0
Membership Inference Attacks on Sequence Models0
An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks0
Securing Genomic Data Against Inference Attacks in Federated Learning Environments0
AugMixCloak: A Defense against Membership Inference Attacks via Image Transformation0
Automatic Calibration for Membership Inference Attack on Large Language ModelsCode0
A new membership inference attack that spots memorization in generative and predictive models: Loss-Based with Reference Model algorithm (LBRM)0
Graph-Level Label-Only Membership Inference Attack against Graph Neural Networks0
DP-GPL: Differentially Private Graph Prompt Learning0
Efficient Membership Inference Attacks by Bayesian Neural Network0
Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models0
Membership Inference Attacks for Face Images Against Fine-Tuned Latent Diffusion Models0
A hierarchical approach for assessing the vulnerability of tree-based classification models to membership inference attack0
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