secure-multiparty-computation topic

MPyC: Multiparty Computation in Python

lschoe

Apache Teaclave (incubating) is an open source universal secure computing platform, making computation on privacy-sensitive data safe and simple.

apache

A unified framework for privacy-preserving data analysis and machine learning

secretflow

A Privacy-Preserving Framework Based on TensorFlow

LatticeX-Foundation

A privacy preserving NLP framework

OpenMined

Python library that serves as an API for common cryptographic primitives used to implement OPRF, OT, and PSI protocols.

nthparty

SPU (Secure Processing Unit) aims to be a provable, measurable secure computation device, which provides computation ability while keeping your private data protected.

secretflow

Versatile framework for multi-party computation

data61

This is the development repository for the OpenFHE library. The current (stable) version is v1.1.4 (released on March 8, 2024).

openfheorg

Minimal pure-Python implementation of a secure multi-party computation (MPC) protocol for evaluating arithmetic sum-of-products expressions via a non-interactive computation phase.

NillionNetwork