Morse-STF: Improved Protocols for Privacy-Preserving Machine Learning

no code implementations • 24 Sep 2021 • Qizhi Zhang, Sijun Tan, Lichun Li, Yun Zhao, Dong Yin, Shan Yin

Finally, we introduce Morse-STF, an end-to-end privacy-preserving system for machine learning training that leverages all these improved protocols.

BIG-bench Machine Learning Privacy Preserving

MPC Protocol for G-module and its Application in Secure Compare and ReLU

no code implementations • 8 Jul 2020 • Qizhi Zhang, Lichun Li, Shan Yin, Juanjuan Sun

Based on them, we design secure comparison, selection, ReLU and DReLU protocols, which improve communication efficiency by 2X to 10X compared with state of arts.

Privacy Preserving Privacy Preserving Deep Learning

Matrix embedding method in match for session-based recommendation

no code implementations • 27 Aug 2019 • Qizhi Zhang, Yi Lin, Kangle Wu, Yongliang Li, An-Xiang Zeng

But this method repudiate the variousness of the interest of user in a session.

Session-Based Recommendations

Large scale classification in deep neural network with Label Mapping

no code implementations • 7 Jun 2018 • Qizhi Zhang, Kuang-Chih Lee, Hongying Bao, Yuan You, Wenjie Li, Dongbai Guo

Therefore, it is infeasible to solve the multi-class classification problem using deep neural network when the number of classes are huge.

BIG-bench Machine Learning Classification +2