FudanMPL
A series of open-source secure multi-party learning platforms developed by data security and governance (DSG) research group at Fudan University
Pinned Repositories
Awesome-MPL
Repository for collection of research papers on multi-party learning.
Garnet
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.
pMPL
pMPL: A Robust Multi-Party Learning Framework with a Privileged Party. This project is connected with the publication @ ACM CCS 2022.
RuYi
A Configurable and Efficient Secure Multi-Party Learning Framework with Privileged Parties
SecMML
SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.
Vulnerabilities-in-MPC-Framework
FudanMPL's Repositories
FudanMPL/SecMML
SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.
FudanMPL/Garnet
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.
FudanMPL/Awesome-MPL
Repository for collection of research papers on multi-party learning.
FudanMPL/pMPL
pMPL: A Robust Multi-Party Learning Framework with a Privileged Party. This project is connected with the publication @ ACM CCS 2022.
FudanMPL/Vulnerabilities-in-MPC-Framework
FudanMPL/RuYi
A Configurable and Efficient Secure Multi-Party Learning Framework with Privileged Parties