smpc

MPyC: Multiparty Computation in Python

This the repo for master thesis--SMPC in heavy traffic scenario

Fault-tolerant secure multiparty computation in Python.

Federated learning with secure aggregation, built on Flower and PyTorch.

基于双云模型的隐私保护神经网络预测框架

This repository contains protocols for SMPC for privacy preserving computation

An example of a custom implementation of Secure Mulriparty Computation (SMPC) protocol using additive secret sharing for secure federated learning over the Flower library.

Zero-Knowledge Private Set Intersection & Homomorphic Lookalike Audience Mesh. Enables cross-enterprise swarms to discover shared high-propensity buyer intents and collaborative lookalikes without exposing raw PII, customer graphs, or competitive secrets.

Secure Multi-Party Computation (SMPC), 安全多方验证计算——百万富翁问题

MP-SPDZ implementation of basic graph theory functionality