smpc

Versatile framework for multi-party computation

MPyC: Multiparty Computation in Python

User-friendly secure computation engine based on secure multi-party computation

A maliciously secure two-party computation engine which is embeddable and accessible

An efficient, user-friendly, modular, and extensible framework for mixed-protocol secure multi-party computation with two or more parties

MPC Protocols for the Stoffel framework

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

open-sourced the SMPCTool.

📜 A. Giannopoulos, D. Mouris M.Sc. thesis for University of Athens

The repository is used for presenting the code developed as part of the Adis Hodzic and Casper Knudsens Master Thesis, titled: Stochastic Model Predictive Control of Combined Sewer Overflows in Sanitation Networks

Fault-tolerant secure multiparty computation in Python.

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

Centralized asynchronous secure aggregation using Shamir's secret sharing for the Boston Women's Workforce Council.

基于双云模型的隐私保护神经网络预测框架

Extension of the MOTION2NX framework to implement neural network inferencing task where the data is supplied to the “secure compute servers” by the “data providers”.

This repository extends the SCALE-MAMBA repository to support external data providers.

Header-only Boost.Asio DynamicBuffer adapter for slick buffer backends (stream_buffer, producer_buffer) - zero-copy fan-out of received network bytes to lock-free consumers

This repository contains protocols for SMPC for privacy preserving computation

Secure Multiparty Computation Protocols written in C++ for efficiency and scalability