This repository contains the source code for "Membership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble", In Proceedings of ACM CCS 2025.
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Jan 2, 2026 - Jupyter Notebook
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ml-privacy
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A curated collection of privacy-preserving machine learning techniques, tools, and practical evaluations. Focuses on differential privacy, federated learning, secure computation, and synthetic data generation for implementing privacy in ML workflows.
machine-learning privacy awesome-list secure-computation differential-privacy awesome-resources synthetic-data federated-learning privacy-preserving-ml ml-security privacy-preserving-ai ml-privacy privacy-preserving-techniques
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Jun 9, 2025
Membership inference attack plus four layered privacy defenses (DP-SGD, SISA, and more).
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Jun 7, 2026 - Python
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