Perform data science on data that remains in someone else's server
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Updated
Jun 12, 2024 - Python
Perform data science on data that remains in someone else's server
OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.
Versatile framework for multi-party computation
A curated list of multi party computation resources and links.
A Framework for Encrypted Machine Learning in TensorFlow
An open framework for Federated Learning.
ABY - A Framework for Efficient Mixed-protocol Secure Two-party Computation
A Privacy-Preserving Framework Based on TensorFlow
A fast, portable, and easy to use Oblivious Transfer Library
A pure-Rust implementation of the Paillier encryption scheme
Oblivious Transfer, Oblivious Transfer Extension and Variations
YACL (Yet Another Common crypto library) is a C++ library that contains cryptgraphy, network and io modules which other SecretFlow code depends on.
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
A collection of Paillier cryptosystem zero knowledge proofs
An efficient, user-friendly, modular, and extensible framework for mixed-protocol secure multi-party computation with two or more parties
A pure-Rust implementation of various threshold secret sharing schemes
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