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

A Fully Homomorphic Encryption (FHE) library for bridging the gap between theory and practice with a focus on performance and accuracy.

Official mirror of Python-FHEz; Python Fully Homomorphic Encryption (FHE) Library for Encrypted Deep Learning as a Service (EDLaaS).

Flower framework for Federated Learning, with Fully Homomorphic Encryption integrated

A Homomorphic Encryption-Driven Python Framework for Secure Cloud-Based Facial Recognition

A CKKS implementation in SageMath which supports basic bootstrapping.

several implementations of the number theoretic transform (NTT)

Experiments in using Z3 to check common FHE transformations

mcp server based on the new homomorphic encryption technology "ZionFHE"

MPC key storage experiments for various FHE cryptosystems using Nillion's nilDB

Advanced RAG (Retrieval-Augmented Generation) powered chatbot that provides instant, accurate answers about Zama Protocol's Fully Homomorphic Encryption (FHE) technology

Privacy-preserving disease risk prediction using the CKKS homomorphic encryption scheme.

Fully Homomorphic Encryption and neural networks experiments

ACM Summer School 2025: Introduction to Cryptography

Easily run the Zama project by clicking run_sepolia.bat. Enter your private key in the GUI, adjust the claim time, and start claiming! 🚀💻