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.

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

Toy implementation of FHE algorithms

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

[INFOCOM24' & TDSC25']FedPHE & 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.

Privacy-preserving LLM inference with CKKS homomorphic encryption and Private Linear Layer (PLL) protection for LoRA fine-tuned models

A CKKS implementation in SageMath which supports basic bootstrapping.

Fully Homomorphic Encryption for Private Federated Learning

Compiler-driven GPU acceleration of Fully Homomorphic Encryption

CKKS Bootstrapping using Microsoft SEAL

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

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

HIENAA (HE Implementation for Encrypted Numbers Arithmetic and Algorithms)

project for class CS05177

Drop-in encrypted Fairlearn metrics over CKKS. Same API surface; ciphertext arithmetic via TenSEAL or OpenFHE.

Reference implementation of the BHDR regression kernel: BSGS-hoisted diagonal Kernel SHAP regression under CKKS FHE.

FHE Oracle — adversarial precision testing for Fully Homomorphic Encryption. Open-source edition (AGPL-3.0).

Unified attack-replay regression harness for FHE libraries (SEAL, OpenFHE, Lattigo, tfhe-rs).