Stars
A framework designed to simplify the development and optimization of GPU-accelerated FHE applications
A framework for performing AI model inference on encrypted data.
CUDA accelerated rasterization of gaussian splatting
A server-side CKKS GPU library fully interoperable with OpenFHE.
TFHE-rs: A Pure Rust implementation of the TFHE Scheme for Boolean and Integer Arithmetics Over Encrypted Data.
Extending PyTorch to Fully Homomorphic Encryption
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-st…
snu-ccl / FHE-MP-CNN
Forked from microsoft/SEALImplementation of deep ResNet model on CKKS scheme in Microsoft SEAL library using multiplexed parallel convolution
C++ library to develop competitive programming problems
Source code for the paper "Encrypted Image Classification with Low Memory Footprint using Fully Homomorphic Encryption"
Sphinx theme from Read the Docs
A basic implementation of the Small Primes Number-Theoretic Transform (NTT) multiplication algorithm.
This is the top-level repository for the Accel-Sim framework.
PhantomFHE: A CUDA-Accelerated Homomorphic Encryption Library
This is code for homomorphic encryption scheme "a Full RNS variant of HEAAN"
Proyecto Dorayaki. Asignatura de Administración Avanzada de Redes. Grado en Ingeniería Informática. Facultad de Informática. Universidad de Murcia.
A Fully Homomorphic Encryption (FHE) library for bridging the gap between theory and practice with a focus on performance and accuracy.
Examples demonstrating available options to program multiple GPUs in a single node or a cluster
Utilities to simplify the deployment and administration of Domjudge instances.
Tools to manage problem packages using the Kattis problem package format.