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privacy defense

4 papers

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Co-occurring keywords · papers mentioning both

membership inference attack (2) model inversion attack (2) federated learning (2) gradient mixing (1) variation distance (1) attribute inference attack (1) neural network (1) utility-privacy tradeoff (1) confidence score (1) gradient inversion attack (1)

Papers

Some Targets Are Harder to Identify than Others: Quantifying the Target-dependent Membership Leakage AISTATS 2025 Mixing Gradients in Neural Networks as a Strategy To Enhance Privacy in Federated Learning WACV 2024 Purifier: Defending Data Inference Attacks via Transforming Confidence Scores AAAI 2023 Improving Robustness to Model Inversion Attacks via Mutual Information Regularization AAAI 2021