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1. SecMML SecMML Public

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

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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.

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3. Awesome-MPL Awesome-MPL Public

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

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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.

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5. DAVEX DAVEX Public

   DAVEX ( DAta Value EXchange) aims to achieve data exchange and privacy computing between different platforms by implementing DAVEX agent and DAVEX manager as a distributed data exchange platform, c…

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6. Vulnerabilities-in-MPC-Framework Vulnerabilities-in-MPC-Framework Public

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