Secure Multiparty Computation Python Packages

nilql

Python library for working with encrypted data within nilDB queries and replies.

spu

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

secretflow

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

secretflow-serving-lib

SecretFlow-Serving is a serving system for privacy-preserving machine learning models.

secretflow-lite

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

mpyc

MPyC: Multiparty Computation in Python

shamirs

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

oblivious

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

cicada-mpc

Fault-tolerant secure multiparty computation in Python.

additive

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

blindfold

Python library for working with encrypted data within nilDB queries and replies.

exclusive

Data structure for representing secret shares of byte vectors based on bitwise XOR, designed for use within secure multi-party computation (MPC) protocol implementations.

otc

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

mpyc-custom

MPyC: Multiparty Computation in Python

sf-sml

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

fedscgen

A lightweight, pip-installable version of FedscGen.

latticex

A Privacy-Preserving Framework Based on TensorFlow

tinynmc

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.

latticex-rosetta

A Privacy-Preserving Framework Based on TensorFlow