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    6 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++
      •
      Other
      •8•47•0•0•Updated Dec 30, 2024Dec 30, 2024

    • pMPL

      Public
      pMPL: A Robust Multi-Party Learning Framework with a Privileged Party. This project is connected with the publication @ ACM CCS 2022.
      secret-sharingmulti-party-computation
      C++
      •4•17•0•0•Updated Aug 8, 2024Aug 8, 2024

    • RuYi

      Public
      A Configurable and Efficient Secure Multi-Party Learning Framework with Privileged Parties
      C++
      •0•0•0•0•Updated Jul 23, 2024Jul 23, 2024

    • Vulnerabilities-in-MPC-Framework

      Public
      C++
      •
      BSD 3-Clause "New" or "Revised" License
      •0•4•0•0•Updated May 8, 2024May 8, 2024

    • Awesome-MPL

      Public
      Repository for collection of research papers on multi-party learning.
      Jupyter Notebook
      •5•32•1•0•Updated Aug 9, 2023Aug 9, 2023

    • SecMML

      Public
      SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.
      linear-regressionneural-networksshamir-secret-sharingdirected-acyclic-graphmulti-party-computationbgw
      C++
      •31•113•0•2•Updated Jul 20, 2023Jul 20, 2023