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SecretFlow

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

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SecretFlow: A Unified Privacy-Preserving Computing Framework

It supports multiple mainstream privacy-preserving computing technologies including MPC, FL, TEE, HE, and DP. Through a well-designed layered architecture and readily available privacy-preserving data analysis and machine learning modeling, the framework lowers the threshold for developers to use.

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  1. secretflow Public

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

    Python 2.5k 441

  2. kuscia Public

    Kuscia(Kubernetes-based Secure Collaborative InfrA) is a K8s-based privacy-preserving computing task orchestration framework.

    Go 99 84

  3. scql Public

    SCQL (Secure Collaborative Query Language) is a system that allows multiple distrusting parties to run joint analysis without revealing their private data.

    Go 150 64

  4. spu Public

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

    C++ 289 132

  5. heu Public

    A high-performance homomorphic encryption algorithm library.

    C++ 98 43

  6. yacl Public

    YACL (Yet Another Common crypto library) is a C++ library that contains cryptography, network and io modules which other SecretFlow code depends on.

    C++ 106 78

Repositories

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