Toy implementation of FHE algorithms

HEhub is a library for homomorphic encryption and its applications, and is part of the PrimiHub project.

HEonGPU is a high-performance library that optimizes Fully Homomorphic Encryption (FHE) on GPUs. Leveraging GPU parallelism, it reduces computational load through concurrent execution. Its multi-stream architecture minimizes data transfer overhead, making it ideal for large-scale encrypted computations with reduced latency.

Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning

Single & Multi Key Homomorphic Encryption Library

SEAL.jl is an easy-to-use wrapper for the original SEAL library and supports homomorphic encryption with the BFV and CKKS schemes.

A server-side CKKS GPU library fully interoperable with OpenFHE.

Fully Homomorphic Encryption for Private Federated Learning

A CKKS implementation in SageMath which supports basic bootstrapping.

Compiler-driven GPU acceleration of Fully Homomorphic Encryption

CKKS (Cheon-Kim-Kim-Song) scheme for calculation of a polynomial(3x^2+0.4x+1) using homomorphic encryption and Microsoft's SEAL library.

HIENAA (HE Implementation for Encrypted Numbers Arithmetic and Algorithms)

project for class CS05177

Logistic Regression model over encrypted data using Fully Homomorphic Encryption to detect credit card fraud, privately.

Fully homomorphic encryption for BPCE Group by Paris Digital Lab

Toy implementation of HEAAN-CKKS

Source code for the paper "Lightweight Sorting in Approximate Homomorphic Encryption"

1. Machine Learning and Cyber Security Overview 2. Threats In AI Systems 3. Risk Mitigation and AI Deployment 4. AI for Cybersecurity

SecBic-CCA: Secured Biclusterings - Cheng and Church Algorithm using CKKS scheme with Pyfhel Libary over gene expression data sets.