Ziqi Zhang (张子祺)

Ziqi Zhang (张子祺)

Postdoc @ UIUC

Ziqi Zhang 张子祺

Hi! I’m Ziqi Zhang (pronounced as /tzi’chi chang/). I’m currently a Postdoc Researcher at UIUC, supervied by 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 got my Bachelor degree in the School of EECS, Peking University. My research interest lies in Software Engineering and AI, AI Security, and software security.

I’m always open to collaborations on AI security and software engineering, including trusted AI, AI with trusted hardware (e.g. SGX, TDX, TrustZone), AI4SE, and SE4AI. If you would like my collaboration or suggestion for your research projects, feel free to reach out! Besides the aforementioned research interest, I am also open to other related research problems!

Research Interests

  1. TEE-based Model Protection: TEE-Shielded DNN Partition [S&P’24]
  2. Software Engineering and AI: model slicing [ESEC/FSE’20, ICSE’22], model testing [ISSTA’21]
  3. Privacy: federated learning [ICSE’23, Ubicomp’22, WWW’23]
  4. Software Security: memory isolation [CCS’23b], security of SGX applications [CCS’23a]

Publications

  • [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”. (CCF-A) [paper] [artifact] [tool TAOISM]

  • [CCS’23a] Yuanpeng Wang, Ziqi Zhang, Ningyu He, Zhineng Zhong, Shengjian Guo, Qinkun Bao, Ding Li, Yao Guo, and Xiangqun Chen. “SymGX: Detecting Cross-boundary Pointer Vulnerabilities of SGX Applications via Static Symbolic Execution”. (CCF-A, Accepted).

  • [CCS’23b] Hanwen Lei, Ziqi Zhang, Shaokun Zhang, Peng Jiang, Zhineng Zhong, Ningyu He, Ding Li, Yao Guo, and Xiangqun Chen. “Put Your Memory in Order: Efficient Domain-based Memory Isolation for WASM Applications”. (CCF-A, Accepted).

  • [WWW’23] Bingyan Liu, Yifeng Cai, Hongzhe Bi, Ziqi Zhang, Ding Li, Yao Guo, Xiangqun Chen. “Beyond Fine-Tuning: Efficient and Effective Fed-Tuning for Mobile/Web Users”. (CCF-A, 365/1900=19.2%)

  • [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”. In Proceedings of International Conference on Software Engineering. (CCF-A, 209/796=26.2%) [paper] [code]

  • [ISSRE’23] Shaokun Zhang, Wu Linna, Yuanchun Li, Ziqi Zhang, Hanwei Lei, Ding Li, Yao Guo, and Xiangqun Chen. “ReSPlay: Improving Cross-Platform Record-and-Replay with GUI Sequence Matching”. In IEEE International Symposium on Software Reliability Engineering. (CCF-B, Accepted)

  • [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”. In Proceedings of International Conference on Software Engineering. (CCF-A, 197/751≈26.2%) [paper] [code]

  • [ISSTA’22W] Ziqi Zhang, Lucien K. L. Ng, Yifeng Cai, Yao Guo, Bingyan Liu, Ding Li, and Xiangqun Chen. “TEESlice: Slicing DNN Models for Secure and Efficient Deployment inside TEEs”.

  • [Ubicomp’22] Bingyan Liu, Yifeng Cai, Ziqi Zhang, Yuanchun Li, Leye Wang, Ding Li, Yao Guo, Xiangqun Chen. “DistFL: Distribution-aware Federated Learning for Mobile Scenarios”. In ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. (CCF-A)

  • [ISSTA’21] Yuanchun Li, Ziqi Zhang, Bingyan Liu, Ziyue Yang, Yunxin Liu. “ModelDiff: Testing-based DNN Similarity Comparison for Model Reuse Detection”. The ACM SIGSOFT International Symposium on Software Testing and Analysis. (CCF-A, 51/233=21.9%)

  • [ESEC/FSE’20] Ziqi Zhang, Yuanchun Li, Yao Guo, Xiangqun Chen, Yunxin Liu. “Dynamic Slicing for Deep Neural Networks.” In Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. (CCF-A, 101/360≈28.0%) [paper] [code]

Invited Talks

  1. Ant Group, Beijing, Dec 2023. No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML
  2. Security Group @ TouTiao, Beijing, Dec 2023. No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML
  3. NetSys weekly seminar, Imperial College London, Nov 2023. No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML
  4. Ant Group, Beijing, Aug 2023. No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML

Academic Services

  1. PC Member: LLM4Code @ ICSE’24
  2. Reviewer: TDSC’23, WWW’24

Honors and Awards

  1. Outstanding Doctoral Dissertation Award of Peking University, Jun 2023
  2. Outstanding Graduate Award of Peking University, Jun 2023
  3. Merit Student of Peking University, Sep 2022
  4. Jiukun Scholarship, Peking University, Sep 2022
  5. Stars of Tomorrow Internship Program, Microsoft Research Asia, Sep 2020
  6. Intel Scholarship, Intel, Dec 2019