OpenMined/PySyft

Privacy-Preserving Computing Platform 由密码学专家团队打造的开源隐私计算平台，支持多方安全计算、联邦学习、隐私求交、匿踪查询等。

Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.

Google's differential privacy libraries.

Library for training machine learning models with privacy for training data

An open-source framework for machine learning and other computations on decentralized data.

Concrete: TFHE Compiler that converts python programs into FHE equivalent

Flower: A Friendly Federated AI Framework

Training PyTorch models with differential privacy

Open Source Data Security Platform for Developers to Monitor and Detect PII, Anonymize Production Data and Sync it across environments.