Skip to main content

SecretFlow

Project description


CircleCI

简体中文English

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

  • Kuscia: A K8s-based privacy-preserving computing task orchestration framework.
  • 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 cryptography, network and io modules which other SecretFlow code depends on.

Install

Please check INSTALLATION.md

Deployment

Please check DEPLOYMENT.md

Learn PETs

We also provide a curated list of papers and SecretFlow's tutorials on Privacy-Enhancing Technologies (PETs).

Please check AWESOME-PETS.md

Contributing

Please check CONTRIBUTING.md

Disclaimer

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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

secretflow-1.1.0.dev20230828-cp38-cp38-macosx_11_0_arm64.whl (1.7 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

secretflow-1.1.0.dev20230828-cp38-cp38-macosx_10_16_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.8 macOS 10.16+ x86-64

File details

Details for the file secretflow-1.1.0.dev20230828-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for secretflow-1.1.0.dev20230828-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 376457b9ae608b25d51d7793f84e463b0435131e4c13a6922cfa8b6776e932af
MD5 2c454ec3c428267a7ed6eee493d86b03
BLAKE2b-256 976654785e31f7f0495f6f56d58ca7b1346aab368904abf6b7a04ab3f62c60cf

See more details on using hashes here.

File details

Details for the file secretflow-1.1.0.dev20230828-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for secretflow-1.1.0.dev20230828-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 161fb2ea2af006812a37af392504d1352fc572e9e0db0e857323ebd40f86ff8c
MD5 c06cf04dcfc94107fd959cae461e17b0
BLAKE2b-256 535cc86d9b32f8ff4e59ed8085ebfe3c961ab85d6a3ecb29f14ab8aadbe7bebc

See more details on using hashes here.

File details

Details for the file secretflow-1.1.0.dev20230828-cp38-cp38-macosx_10_16_x86_64.whl.

File metadata

File hashes

Hashes for secretflow-1.1.0.dev20230828-cp38-cp38-macosx_10_16_x86_64.whl
Algorithm Hash digest
SHA256 06b7ff1cdce977aacaca8cadf70b69801d0709110f3c3a4fd78fba516ecb7bfc
MD5 b399905ded521d6998c6a332ee2b7449
BLAKE2b-256 2c79764fa88928073a128d820625873e56cfcea483ee9d4e593f7da14c39deb1

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page