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Homomorphic Encryption processing Unit (HEU) is a subproject of Secretflow that implements high-performance homomorphic encryption algorithms.

Project description

HEU

CircleCI PyPI version

中文

HEU (Homomorphic Encryption processing Unit) is a user-friendly and high-performance homomorphic encryption library that supports multiple types and scalable hardware acceleration.

document

https://www.secretflow.org.cn/docs/heu/

Repo status

Homomorphic encryption algorithms are mainly divided into two categories: partially homomorphic encryption (PHE) and fully homomorphic encryption (FHE). Currently, HEU supports most PHE algorithms, while FHE is still under development and will take some time.

Supported algorithms:

  • Additive homomorphic encryption
    • Paillier (recommended)
    • Okamoto–Uchiyama (recommended)
    • EC ElGamal
    • Damgard-Jurik
    • Damgard-Geisler-Krøigaard (DGK)
  • Fully homomorphic encryption
    • Under development and is the current focus of work.

Each algorithm includes a variety of different implementations, and some implementations support hardware accelerators. For more details, please refer to the Document

Compile and install

Environmental requirements

  • CPU
    • x86_64: minimum required AVX instruction set
    • AArch64: ARMv8
  • OS
    • Ubuntu 18.04+
    • Centos 7
    • macOS 11.1+ (macOS Big Sur+)
  • Python
    • Python 3.8+

Install via Pip

pip install sf-heu

Install from source

The following command will automatically compile and install HEU into the default Python environment:

git clone git@github.com:secretflow/heu.git
cd heu
sh build_wheel_entrypoint.sh

Run unit tests (optional)

# just compile, do not run any UT (optional)
bazel build heu/...

# compile and run all UTs
bazel test heu/...

Contribution Guidelines

SecretFlow is an open and inclusive community, and we welcome any kind of contribution. If you want to improve HEU, please refer to Contribution Guide

Project details


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sf_heu-0.5.0.dev20231128-cp38-cp38-macosx_11_0_arm64.whl (3.0 MB view hashes)

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