Ziqi Zhang 张子祺
I’m Ziqi Zhang (pronounced as /tzi’chi chang/). I will join the College of Information Sciences and Technology at the Pennsylvania State University (PSU) as an Assistant Professor. My research interests span AI security, trusted hardware, and software security. I have published several papers at top-tier conferences in various domains, including computer security, software engineering, AI, and ubiquitous computing. Recently, I’ve been working on the following topics:
- TEE-based LLM Protection [S&P’24, ICML’24, TOSEM’25, NeurIPS’25b]
- Secure AI platform: federated learning [ICSE’23, Ubicomp’22, WWW’23], authentication [Security’24], adversarial defense [S&P’25]
- Cybersecurity agent [NeurIPS’25a]
I was a Postdoc Researcher at UIUC working with Lingming Zhang. I received my Ph.D degree in the School of Computer Science from Peking University in 2023, advised by Prof. Ding Li, Prof. Yao Guo, and Prof. Xiangqun Chen. Before that, I earned my bachelor’s degree from the School of EECS, Peking University in 2018.
News
- 05/2026: Two papers accepted by USENIX Security’26
Selected Publications
- [USENIX Security’25] Pengli Wang, Bingyou Dong, Yifeng Cai, Zheng Zhang, Junlin Liu, Huanran Xue, Ye Wu, Yao Zhang, and Ziqi Zhang. “Game of Arrows: On the (In-)Security of Weight Obfuscation for On-Device TEE-Shielded LLM Partition Algorithms”. [paper]
- [TOSEM’25] Ding Li, Ziqi Zhang, Mengyu Yao, Yifeng Cai, Yao Guo, and Xiangqun Chen. “TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models”. [paper]
- [S&P’24] Ziqi Zhang, Chen Gong, Yuanyuan Yuan, Yifeng Cai, Bingyan Liu, Ding Li, Yao Guo, Xiangqun Chen. “No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition Defenses”. [paper] [artifact] [tool]
- [ICSE’23] Ziqi Zhang, Yuanchun Li, Bingyan Liu, Yifeng Cai, Ding Li, Yao Guo, Xiangqun Chen. “FedSlice: Protecting Federated Learning Models from Malicious Participants with Model Slicing”. [paper] [code]
- [ICSE’22] Ziqi Zhang, Yuanchun Li, Jindong Wang, Bingyan Liu, Ding Li, Xiangqun Chen, Yao Guo, Yunxin Liu. “ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing”. [paper] [code]
- [ESEC/FSE’20] Ziqi Zhang, Yuanchun Li, Yao Guo, Xiangqun Chen, Yunxin Liu. “Dynamic Slicing for Deep Neural Networks.” [paper]
For a complete and up-to-date publication list, please see the Publications page.
Academic Services
- Program Committee
- IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024, 2025, 2026
- ACM International Conference on the Foundations of Software Engineering (FSE), 2025, 2026
- IEEE/ACM International Conference on Software Engineering
- International Workshop on Large Language Models for Code (LLM4Code), 2024, 2025
- Conference Reviewer
- The Web Conference (WWW), 2024, 2025
- Journal Reviewer
- IEEE Transactions on Dependable and Secure Computing (TDSC), 2023, 2025, 2026
- IEEE Transaction on Software Engineering (TSE), 2024, 2025
- IEEE Transaction on Software Engineering and Methodology (TOSEM), 2025
Honors and Awards
- Outstanding Doctoral Dissertation Award of Peking University, Jun 2023
- Outstanding Graduate Award of Peking University, Jun 2023
- Merit Student of Peking University, Sep 2022
- Jiukun Scholarship, Peking University, Sep 2022
- Stars of Tomorrow Internship Program, Microsoft Research Asia, Sep 2020
- Intel Scholarship, Intel, Dec 2019
Misc
After work, I enjoy playing basketball and working out at the gym. I was a member of the men’s basketball teams for the EECS (for nine years) and CS (for two years) departments at Peking University. I served as the captain and coach of both teams. I was also a member of Peking University’s second-tier men’s basketball team. Currently, I play for Gyzers, the oldest Chinese basketball team at UIUC.
