1 citations · 2 across the 6 of their papers we have counts for
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cs.CR2025
VIRGOS: Secure Graph Convolutional Network on Vertically Split Data from Sparse Matrix Decomposition
Yu Zheng, Qizhi Zhang, Lichun Li +2
Securely computing graph convolutional networks (GCNs) is critical for applying their analytical capabilities to privacy-sensitive data like social/credit networks. Multiplying a s…
cs.CR2021★ 1 cited
Morse-STF: Improved Protocols for Privacy-Preserving Machine Learning
Qizhi Zhang, Sijun Tan, Lichun Li +3
Secure multi-party computation enables multiple mutually distrusting parties to perform computations on data without revealing the data itself, and has become one of the core techn…
cs.CR2020★ 1 cited
MPC Protocol for G-module and its Application in Secure Compare and ReLU
Qizhi Zhang, Lichun Li, Shan Yin +1
Secure comparison and secure selection are two fundamental MPC (secure Multi-Party Computation) protocols. One important application of these protocols is the secure ReLU and DReLU…