Lushan Song

According to our database, Lushan Song authored at least 7 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

IDCloak: A Practical Secure Multi-party Dataset Join Framework for Vertical Privacy-preserving Machine Learning.

Shuyu Chen, Guopeng Lin, Haoyu Niu, Lushan Song, Chengxun Hong, Weili Han

CoRR, June, 2025

Is MPC Secure? Leveraging Neural Network Classifiers to Detect Data Leakage Vulnerabilities in MPC Implementations.

Guopeng Lin, Xiaoning Du, Lushan Song, Weili Han, Jin Tan, Junming Ma, Wenjing Fang, Lei Wang

Proceedings of the IEEE Symposium on Security and Privacy, 2025

2024

Ruyi: A Configurable and Efficient Secure Multi-Party Learning Framework With Privileged Parties.

Lushan Song, Zhexuan Wang, Guopeng Lin, Weili Han

IEEE Trans. Inf. Forensics Secur., 2024

Ents: An Efficient Three-party Training Framework for Decision Trees by Communication Optimization.

Guopeng Lin, Weili Han, Wenqiang Ruan, Ruisheng Zhou, Lushan Song, Bingshuai Li, Yunfeng Shao

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2022

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

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Privacy Compliance: Can Technology Come to the Rescue?

Wenqiang Ruan, Mingxin Xu, Haoyang Jia, Zhenhuan Wu, Lushan Song, Weili Han

IEEE Secur. Priv., 2021

2020

SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation.

Lushan Song, Haoqi Wu, Wenqiang Ruan, Weili Han

CoRR, 2020