Perform data science on data that remains in someone else's server
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Updated
Jun 18, 2025 - Python
Perform data science on data that remains in someone else's server
A curated list of multi party computation resources and links.
A Framework for Encrypted Machine Learning in TensorFlow
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 Privacy-Preserving Framework Based on TensorFlow
ABY - A Framework for Efficient Mixed-protocol Secure Two-party Computation
A fast, portable, and easy to use Oblivious Transfer Library
User-friendly secure computation engine based on secure multi-party computation
Materials about Privacy-Preserving Machine Learning
Awesome list for cryptographic secure computation paper. This repo includes *Lattice*, *DifferentialPrivacy*, *MPC* and also a comprehensive summary for top conferences.
Oblivious Transfer, Oblivious Transfer Extension and Variations
A pure-Rust implementation of various threshold secret sharing schemes
A FRamework for Efficient Secure COmputation
A repo to hold common tools used by my crypto projects
A collection of Paillier cryptosystem zero knowledge proofs
A pure-Rust implementation of the Paillier encryption scheme
A VSP; run your encrypted C code AS IS!
YACL (Yet Another Common crypto library) is a C++ library that contains cryptography, network and io modules which other SecretFlow code depends on.
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