Wenqiang Ruan

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Learning Models

Differentially Private

Privacy Preservation

Real Life Examples

Top Venues

World Wide Web (WWW)

IEEE Secur. Priv.

Publications

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 (2024)
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)
Wenqiang Ruan, Mingxin Xu, Yinan Jing, Weili Han
Towards Understanding the fairness of differentially private margin classifiers. World Wide Web (WWW) 26 (3) (2023)
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 (2022)
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 (2022)
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)
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) (2021)
Haodong Zhang, Chuanwang Wang, Wenqiang Ruan, Junjie Zhang, Ming Xu, Weili Han
Digit Semantics based Optimization for Practical Password Cracking Tools. ACSAC (2021)
Lushan Song, Haoqi Wu, Wenqiang Ruan, Weili Han
SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation. CoRR (2020)