Perform data science on data that remains in someone else's server
Versatile framework for multi-party computation
OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.
A curated list of multi party computation resources and links.
A Framework for Encrypted Machine Learning in TensorFlow
ABY - A Framework for Efficient Mixed-protocol Secure Two-party Computation
A fast, portable, and easy to use Oblivious Transfer Library
A Privacy-Preserving Framework Based on TensorFlow
YACL (Yet Another Common crypto library) is a C++ library that contains cryptography, network and io modules which other SecretFlow code depends on.
A pure-Rust implementation of the Paillier encryption scheme
Oblivious Transfer, Oblivious Transfer Extension and Variations
A FRamework for Efficient Secure COmputation
A repo to hold common tools used by my crypto projects
Materials about Privacy-Preserving Machine Learning
Implementation of protocols in Falcon
An efficient, user-friendly, modular, and extensible framework for mixed-protocol secure multi-party computation with two or more parties
A collection of Paillier cryptosystem zero knowledge proofs
VGS edition of Google's safe and hermetically sealed Starlark language - a non-Turing complete subset of Python 3.
A pure-Rust implementation of various threshold secret sharing schemes
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