Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.
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Updated
Jul 11, 2024 - C++
Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.
An FHE compiler for C++
A unified framework for privacy-preserving data analysis and machine learning
Concrete: TFHE Compiler that converts python programs into FHE equivalent
A library for lattice-based multiparty homomorphic encryption in Go
✨ Awesome - A curated list of amazing Homomorphic Encryption libraries, software and resources
Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.
TFHE-rs: A Pure Rust implementation of the TFHE Scheme for Boolean and Integer Arithmetics Over Encrypted Data.
A library for doing homomorphic encryption operations on tensors
This is the development repository for the OpenFHE library. The current (stable) version is v1.2.3 (released on October 30, 2024).
A library for Partially Homomorphic Encryption in Python
A Privacy-Preserving Framework Based on TensorFlow
PYthon For Homomorphic Encryption Libraries, perform encrypted computations such as sum, mult, scalar product or matrix multiplication in Python, with NumPy compatibility. Uses SEAL/PALISADE as backends, implemented using Cython.
Homomorphic Encryption library and applications in Swift
Cingulata (pronounced "tchingulata") is a compiler toolchain and RTE for running C++ programs over encrypted data by means of fully homomorphic encryption techniques.
A private blockDAG with Homomorphic Encryption and Smart Contracts
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
SDK for private data access, built on homomorphic encryption.
Microsoft SEAL 4.X For Python
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