I am a Ph.D. student in the Data Security and Governance (DSG) Lab of Fudan University, under the supervision of Prof. Weili Han. I received my B.Eng. in Software Engineering from Fudan University in 2021.

My research interests primarily focus on secure multi-party computation (MPC), including vulnerability detection for it and its application in privacy-preserving machine learning. I have published papers at top venues such as IEEE S&P, ACM CCS, USENIX Security, ICML and VLDB.

🔥 News

• 2026.04:  🎉 One paper accepted by ACM CCS 2026.
• 2026.01:  🎉 One paper accepted by VLDB 2026.
• 2025.10:  🎓 Awarded National Scholarship 2025.
• 2025.05:  🎉 One paper accepted by ICML 2025.
• 2025.03:  🎉 One paper accepted by IEEE S&P 2025.
• 2025.01:  🎉 One paper accepted by USENIX Security 2025.
• 2024.10:  🏆 Received the ACM CCS 2024 Distinguished Artifact Award.
• 2024.04:  🎉 One paper accepted by ACM CCS 2024.

📝 Publications

• CCS '26
  MPCArbiter: Detect Numeric Error Vulnerabilities in MPC Implementations via Distribution-Aware Differential Oracle
  Guopeng Lin, Zhengting Jin, Shuyu Chen, Jingwei Pu, Zheng Qu, Jiaheng Zhang, Weili Han.
  In Proceedings of the 33rd ACM Conference on Computer and Communications Security (CCS), 2026.
• VLDB '26
  Bifrost: A Much Simpler Secure Two-Party Data Join Protocol for Secure Data Analytics
  Shuyu Chen, Mingxun Zhou, Haoyu Niu, Guopeng Lin, Weili Han.
  In Proceedings of the 52nd International Conference on Very Large Data Bases (VLDB), 2026.
• S&P '25
  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.
  In Proceedings of the 46th IEEE Symposium on Security and Privacy (S&P), 2025: 2809-2826. [PDF] [Code]
• ICML '25
  Kona: An Efficient Privacy-Preservation Framework for KNN Classification by Communication Optimization
  Guopeng Lin, Ruisheng Zhou, Shuyu Chen, Weili Han, Jin Tan, Wenjing Fang, Lei Wang, Tao Wei.
  In Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025. [PDF] [Code]
• USENIX Sec '25
  HawkEye: Statically and Accurately Profiling the Communication Cost of Models in Multi-party Learning
  Wenqiang Ruan, Xin Lin, Ruisheng Zhou, Guopeng Lin, Shui Yu, Weili Han.
  In Proceedings of the 34th USENIX Security Symposium, 2025. [PDF]
• CCS '24
  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.
  In Proceedings of the 31st ACM Conference on Computer and Communications Security (CCS), 2024: 4376-4390. [PDF]
  ★ Distinguished Artifact Award
• TIFS '24
  Ruyi: A Configurable and Efficient Secure Multi-Party Learning Framework with Privileged Parties
  Lushan Song, Zhexuan Wang, Guopeng Lin, Weili Han.
  IEEE Transactions on Information Forensics and Security (TIFS), 2024, 19: 10355-10370. [PDF]
• 计算机学报 '23
  安全多方学习：从安全计算到安全学习
  韩伟力*, 宋鲁杉*, 阮雯强*, 林国鹏*, 汪哲轩.
  计算机学报, 2023, 46(7): 1494-1512. [PDF]
• CCS '22
  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 (CCS), 2022: 2689-2703. [PDF]

🎖 Honors and Awards

• 2025  🎓 National Scholarship
• 2025  🎓 ByteDance Jindouyun Program Offer
• 2024  🏆 ACM CCS Distinguished Artifact Award (First Author)
• 2024  🥇 Gold Medal, College Student Invention Competition (Team Leader)
• 2021  🌟 Outstanding Graduate of Shanghai
• 2019  🏅 First Prize, National Cybersecurity Competition (Team Leader)

📖 Educations

• 2021.09 - now, Ph.D., School of Computer Science, Fudan University.
• 2017.09 - 2021.06, B.Eng. in Software Engineering, Fudan University.