openfheorg Goto Github PK
Name: OpenFHE
Type: Organization
Bio: Open source library for fully homomorphic encryption!
Name: OpenFHE
Type: Organization
Bio: Open source library for fully homomorphic encryption!
Defaults for our community health files
AAAI Lab Materials
Fork of cereal with custom changes
NumFOCUS Google Summer of Code Materials
temp repo to track differences between PALISADE and OpenFHE for the purposes of code migration
Encrypted Digital Circuit Evaluator using OpenFHE's FHEW/TFHE to execute digital circuits described in various formats.
Provides a user-friendly interface for choosing the hardware backend and release of OpenFHE (works with multiple OpenFHEOrg repositories).
This is the development repository for the OpenFHE library. The current (stable) version is v1.2.1 (released on September 10, 2024).
OpenFHE-based implementation of Logistic Regression Approximation (LRA) and Chi-Square GWAS protocols described in "Secure large-scale genome-wide association studies using homomorphic encryption" (PNAS 2020) by Marcelo Blatt, Alexander Gusev, Yuriy Polyakov, and Shafi Goldwasser.
Intel HEXL library backend for OpenFHE, which uses AVX-512 instructions to accelerate the execution of OpenFHE cryptographic capabilities.
Integer examples for OpenFHE library. Based off of https://gitlab.com/palisade/palisade-integer-examples
Scripts to generate FHEW/TFHE parameters for OpenFHE using the Lattice Estimator
OpenFHE-Based Examples of Logistic Regression Training using Nesterov Accelerated Gradient Descent
OpenFHE Experiments in Encrypted Network Control and Secure Data Distribution with Proxy Re-Encryption
Official Python wrapper for OpenFHE. Current release is v0.8.9 (released on September 10, 2024).
Port of PALISADE-serial-examples : Multi-program PRE and Threshold examples using various simple IPC
Examples of using openfhe and the Google transpiler taken from various research projects
Work in progress: Official Webassemly (NodeJS) port of OpenFHE.
Python examples for logistic regression training
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