Privacy-Preserving AI Systems

Core Privacy Technologies#

• TensorSeal: Homomorphic encryption for machine learning
• PySyft: Privacy-preserving machine learning framework
• Opacus: PyTorch differential privacy library
• TensorFlow Privacy: Google's differential privacy toolkit

Federated Learning Frameworks#

• FedML: Comprehensive federated learning platform
• FLOWER: Production-ready federated learning framework
• TensorFlow Federated: Google's federated learning system
• PaddleFL: Baidu's federated learning framework

Cryptographic Libraries#

• Microsoft SEAL: Homomorphic encryption library
• HElib: IBM's homomorphic encryption library
• Crypten: Facebook's secure multi-party computation framework
• MP-SPDZ: General-purpose MPC framework

Privacy Auditing Tools#

• ML Privacy Meter: Membership inference attack evaluation
• Adversarial Robustness Toolbox: Privacy attack simulations
• Privacy-O-Meter: Comprehensive privacy risk assessment
• Diffprivlib: IBM's differential privacy library