intel / he-toolkit
The Intel Homomorphic Encryption (HE) toolkit is the primordial vehicle for the continuous distribution of the Intel HE technological innovation to users. The toolkit has been designed with usability in mind and to make it easier for users to evaluate and deploy homomorphic encryption technology on the Intel platforms.
☆120Updated last week
Alternatives and similar repositories for he-toolkit:
Users that are interested in he-toolkit are comparing it to the libraries listed below
- Intel Homomorphic Encryption Acceleration Library accelerates modular arithmetic operations used in homomorphic encryption☆231Updated 6 months ago
- Compiler for the SEAL homomorphic encryption library☆240Updated 10 months ago
- Intel Homomorphic Encryption Acceleration Library for FPGAs, including open source implementation of FPGA kernels for accelerating NTT, I…☆102Updated 2 years ago
- CUDA Homomorphic Encryption Library☆200Updated 7 years ago
- Repository for the SoK paper on Fully Homomorphic Encryption (FHE) compilers.☆78Updated 2 years ago
- ☆104Updated 3 years ago
- nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph☆173Updated 2 years ago
- Intel Paillier Cryptosystem Library is an open-source library which provides accelerated performance of a partial homomorphic encryption …☆76Updated 10 months ago
- Some algorithms for computation on encrypted data based on Microsoft SEAL☆27Updated 4 years ago
- Private Information Retrieval protocol☆45Updated 4 years ago
- Piranha: A GPU Platform for Secure Computation☆95Updated 2 years ago
- CUDA-accelerated Fully Homomorphic Encryption Library☆226Updated 3 years ago
- Intel HEXL library backend for OpenFHE, which uses AVX-512 instructions to accelerate the execution of OpenFHE cryptographic capabilities…☆18Updated 9 months ago
- Example implementation of the SealPIR protocol☆149Updated 5 months ago
- Official Python wrapper for OpenFHE. Current release is v0.8.10 (released on October 28, 2024).☆103Updated last week
- APSI is a C++ library for Asymmetric (unlabeled or labeled) Private Set Intersection.☆201Updated last year
- ☆67Updated 6 years ago
- Privacy -preserving Neural Networks☆78Updated 6 years ago
- A Cryptographic Inference Service for Neural Networks☆130Updated 9 months ago
- A Microsoft-SEAL-compatible implementation of homomorphic encryption targeting Azure Sphere and other embedded devices.☆51Updated 3 years ago
- Optimizing compiler for Fully Homomorphic Encryption (FHE)☆73Updated 9 months ago
- Fast Privacy-Preserving Machine Learning on the GPU☆82Updated 3 years ago
- Oblivious Transfer, Oblivious Transfer Extension and Variations☆170Updated 8 months ago
- IBM HElayers homomorphic encryption SDK for C++ and Python☆38Updated this week
- A high-performance homomorphic encryption algorithm library.☆96Updated this week
- An efficient, user-friendly, modular, and extensible framework for mixed-protocol secure multi-party computation with two or more parties☆86Updated last year
- PhantomFHE: A CUDA-Accelerated Homomorphic Encryption Library☆111Updated 4 months ago
- Homomorphic matrix computation☆42Updated 5 years ago
- Private AI Bootcamp was hosted by Microsoft in Redmond, WA on Dec 2nd-4th, 2019. This repository contains materials offered at the event,…☆33Updated 4 years ago
- An Implementation of Incremental Distributed Point Functions in C++☆76Updated 2 months ago