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CircleCI

SecretFlow is a unified framework for privacy-preserving data intelligence and machine learning. To achieve this goal, it provides:

  • An abstract device layer consists of plain devices and secret devices which encapsulate various cryptographic protocols.
  • A device flow layer modeling higher algorithms as device object flow and DAG.
  • An algorithm layer to do data analysis and machine learning with horizontal or vertical partitioned data.
  • A workflow layer that seamlessly integrates data processing, model training, and hyperparameter tuning.

Documentation

SecretFlow Related Projects

  • SCQL: A system that allows multiple distrusting parties to run joint analysis without revealing their private data.
  • SPU: A provable, measurable secure computation device, which provides computation ability while keeping your private data protected.
  • HEU: A high-performance homomorphic encryption algorithm library.
  • YACL: A C++ library that contains cryptgraphy, network and io modules which other SecretFlow code depends on.

Install

Please check INSTALLATION.md

Deployment

Please check DEPLOYMENT.md

Contributing

Please check CONTRIBUTING.md

Disclaimer

Non-release versions of SecretFlow are prohibited to use in any production environment due to possible bugs, glitches, lack of functionality, security issues or other problems.