MPyC: Multiparty Computation in Python

Private set intersection implemented in Python

Query compiler for secure multi-party computation.

A Simulator for Privacy Preserving Federated Learning

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.

Pure-Python implementation of a threshold ecdsa signature scheme based on a secure multi-party computation (MPC) protocol for evaluating arithmetic sum-of-products expressions via a non-interactive computation phase.

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

Minimal pure-Python implementation of Shamir's secret sharing scheme.

Embedded domain-specific combinator library for the abstract assembly and automated synthesis of logical circuits.

Secure multiparty computation for privacy-preserving drug discovery

Fault-tolerant secure multiparty computation in Python.

Non Interactive Multi Party Computation (MPC) Protocol Simulation

Data structure for representing additive secret shares of integers, designed for use within secure multi-party computation (MPC) protocol implementations.

Oblivious transfer (OT) communications protocol message/response functionality implementations based on Curve25519 and the Ristretto group.

A simple Yao’s protocol implementation for two parties with AES.

Delta node receives Delta tasks, distributes them across the network and executes tasks from the network.

Oblivious pseudo-random function (OPRF) protocol functionality implementations based on Curve25519 primitives, including both pure-Python and libsodium-based variants.

This repository is for ECE/CS 498AM Applied Cryptography at University of Illinois at Urbana-Champaign

A prototype implementation of Shoup's threshold RSA

Easy-to-deploy oblivious pseudo-random function (OPRF) service that allows other parties (typically participants in some secure multi-party computation protocol) to obtain a persistent mask which they cannot decrypt but which they can safely apply (via requests to the service) to private data values of their choice.