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@FudanMPL

FudanMPL

A series of open-source secure multi-party learning platforms developed by data security and governance (DSG) research group at Fudan University

Popular repositories

  1. SecMML SecMML Public

    SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.

    C++ 107 31

  2. Garnet Garnet Public

    FudanMPL 2.0, a series of multi-party learning frameworks, with rich features, including secure and fast XGBoost, secure Fine-tuning for pre-trained models, and open source SecureML.

    C++ 38 7

  3. Awesome-MPL Awesome-MPL Public

    Repository for collection of research papers on multi-party learning.

    Jupyter Notebook 28 5

  4. pMPL pMPL Public

    pMPL: A Robust Multi-Party Learning Framework with a Privileged Party. This project is connected with the publication @ ACM CCS 2022.

    C++ 15 4

  5. Vulnerabilities-in-MPC-Framework Vulnerabilities-in-MPC-Framework Public

    C++ 3

Repositories

Showing 5 of 5 repositories
  • Garnet Public

    FudanMPL 2.0, a series of multi-party learning frameworks, with rich features, including secure and fast XGBoost, secure Fine-tuning for pre-trained models, and open source SecureML.

    C++ 38 7 0 0 Updated May 31, 2024
  • pMPL Public

    pMPL: A Robust Multi-Party Learning Framework with a Privileged Party. This project is connected with the publication @ ACM CCS 2022.

    C++ 15 4 0 0 Updated May 15, 2024
  • Vulnerabilities-in-MPC-Framework Public
    C++ 3 BSD-3-Clause 0 0 0 Updated May 8, 2024
  • Awesome-MPL Public

    Repository for collection of research papers on multi-party learning.

    Jupyter Notebook 28 5 1 0 Updated Aug 9, 2023
  • SecMML Public

    SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.

    C++ 107 31 0 2 Updated Jul 20, 2023

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