This is the development repository for the OpenFHE library. The current (stable) version is v1.1.4 (released on March 8, 2024).
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Updated
May 19, 2024 - C++
This is the development repository for the OpenFHE library. The current (stable) version is v1.1.4 (released on March 8, 2024).
FedAnil is a secure blockchain-enabled Federated Deep Learning Model to address non-IID data and privacy concerns. This repo hosts a simulation for FedAnil written in Python.
Concrete: TFHE Compiler that converts python programs into FHE equivalent
Modern Cryptography Suite in C++17
TFHE-rs: A Pure Rust implementation of the TFHE Scheme for Boolean and Integer Arithmetics Over Encrypted Data.
Concrete ML: Privacy Preserving ML framework built on top of Concrete, with bindings to traditional ML frameworks.
A library for lattice-based multiparty homomorphic encryption in Go
Go implementation of (MK)TFHE scheme
Flower framework for Federated Learning, with Fully Homomorphic Encryption integrated
A curated list of amazing Fully Homomorphic Encryption (FHE) resources created by the team at Zama.
We are a community of researchers and developers interested in advancing homomorphic encryption and other secure computation techniques.
Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.
A unified framework for privacy-preserving data analysis and machine learning
A private blockDAG using Homomorphic Encryption with Smart Contract support
Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning
Optimizing compiler for Fully Homomorphic Encryption (FHE)
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
Pure C++ Ver. of TFHE.
Extension of ongoing research project on Arithmetic Circuit Homomorphic encryption (ACHE)
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