tf-encrypted/tf-encrypted

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

Library for training machine learning models with privacy for training data

A library for doing homomorphic encryption operations on tensors

Training PyTorch models with differential privacy

An Open Framework for Federated Learning.

Concrete: TFHE Compiler that converts python programs into FHE equivalent

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

Homomorphic Encryption demos

Diffprivlib: The IBM Differential Privacy Library