Publications

Conference

Digit Semantics based Optimization for Practical Password Cracking Tools; Haodong Zhang, Chuanwang Wang, Wenqiang Ruan, Junjie Zhang, Ming Xu, Weili Han; In Annual Computer Security Applications Conference (ACSAC ’21) link

pMPL: A Robust Multi-Party Learning Framework with a Privileged Party; Lushan Song, Jiaxuan Wang, Zhexuan Wang, Xinyu Tu, Guopeng Lin, Wenqiang Ruan, Haoqi Wu, Weili Han; In Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security November 7–11, 2022 (ACM CCS 2022) link

Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy; Wenqiang Ruan, Mingxin Xu, Wenjing Fang, Li Wang, Lei Wang, Weili Han; In Proceedings of The 44th IEEE Symposium on Security and Privacy (IEEE S&P 2023) link

Journal

Towards Understanding the Fairness of Differentially Private Margin Classifiers; Wenqiang Ruan, Mingxin Xu, Yinan Jing, Weili Han; In World Wide Web Journal (WWWJ), 2022 link

Secure Multi-party Learning: From Secure Computation to Secure Learning; Weili Han, Lushan Song, Wenqiang Ruan, Guopeng Lin, Zhexuan Wang; In Journal of Computer Science and Technology, 2023

Magazine

Privacy Compliance: Can Technology Come to the Rescue?; Wenqiang Ruan, Mingxin Xu, Haoyang Jia, Zhenhuan Wu, LuShan Song, Weili Han; In IEEE Security & Privacy 2021 link

Preprint

SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation; Lushan Song, Haoqi Wu, Wenqiang Ruan, Weili Han arxiv