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
-
Updated
Jun 9, 2025