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2020 – today
- 2024
[i4]Guopeng Lin, Weili Han, Wenqiang Ruan, Ruisheng Zhou, Lushan Song, Bingshuai Li, Yunfeng Shao:
Ents: An Efficient Three-party Training Framework for Decision Trees by Communication Optimization. CoRR abs/2406.07948 (2024)- 2023
- [j2]Wenqiang Ruan, Mingxin Xu, Yinan Jing, Weili Han
:
Towards Understanding the fairness of differentially private margin classifiers. World Wide Web (WWW) 26(3): 1201-1221 (2023) - [c3]Wenqiang Ruan, Mingxin Xu, Wenjing Fang, Li Wang, Lei Wang, Weili Han:
Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy. SP 2023: 1926-1943 - 2022
- [c2]Lushan Song, Jiaxuan Wang, Zhexuan Wang, Xinyu Tu, Guopeng Lin, Wenqiang Ruan, Haoqi Wu, Weili Han:
pMPL: A Robust Multi-Party Learning Framework with a Privileged Party. CCS 2022: 2689-2703 - [i3]Wenqiang Ruan, Mingxin Xu, Wenjing Fang, Li Wang, Lei Wang, Weili Han:
Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy. CoRR abs/2208.08662 (2022) - [i2]Lushan Song, Jiaxuan Wang, Zhexuan Wang, Xinyu Tu, Guopeng Lin, Wenqiang Ruan, Haoqi Wu, Weili Han:
pMPL: A Robust Multi-Party Learning Framework with a Privileged Party. CoRR abs/2210.00486 (2022) - 2021
- [j1]Wenqiang Ruan, Mingxin Xu, Haoyang Jia, Zhenhuan Wu, Lushan Song, Weili Han:
Privacy Compliance: Can Technology Come to the Rescue? IEEE Secur. Priv. 19(4): 37-43 (2021) - [c1]Haodong Zhang, Chuanwang Wang, Wenqiang Ruan, Junjie Zhang, Ming Xu, Weili Han:
Digit Semantics based Optimization for Practical Password Cracking Tools. ACSAC 2021: 513-527 - 2020
- [i1]Lushan Song, Haoqi Wu, Wenqiang Ruan, Weili Han:
SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation. CoRR abs/2012.03386 (2020)
Coauthor Index
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