About me
I’m a Ph.D. student at School of Cyber Science and Engineering, Wuhan University, where I am conducting research in AI Security. I am very fortunate to be advised by Prof. Qian Wang of NIS&P Lab. My works primarily focus on adversarial robustness of AI systems, especially safety alignment and privacy in large language models.
Previously, I received the B.E. degree in communication engineering from Shandong University in 2019 and the M.S. degree in electronic information from Wuhan University, China, in 2022.
Contact me at shenyizhang@whu.edu.cn or syzhang.whu@gmail.com.
Publications
2026
- Divide and Conquer: Policy-Aware Jailbreak Defense for Large Language Models
Yuchen Zhai, Shengnan Guo, Shenyi Zhang, Lingchen Zhao
International Conference on Knowledge Science, Engineering and Management (KSEM), 2026 - Boosting Adversarial Transferability with Low-Cost Optimization via Maximin Expected Flatness
Chunlin Qiu, Ang Li, Yiheng Duan, Shenyi Zhang, Yuanjie Zhang, Lingchen Zhao, Qian Wang
IEEE Transactions on Information Forensics and Security (TIFS), 2026
[paper] [code]
2025
- IntentBreaker: Intent-Adaptive Jailbreak Attack on Large Language Models
Shengnan Guo, Yuchen Zhai, Shenyi Zhang, Lingchen Zhao, Zhangyi Wang
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2025
[paper] - Selective Masking Adversarial Attack on Automatic Speech Recognition Systems
Zheng Fang, Shenyi Zhang, Tao Wang, Bowen Li, Lingchen Zhao, Zhangyi Wang
IEEE International Conference on Multimedia and Expo (ICME), 2025
[paper] [preprint] - JBShield: Defending Large Language Models from Jailbreak Attacks through Activated Concept Analysis and Manipulation
Shenyi Zhang, Yuchen Zhai, Keyan Guo, Hongxin Hu, Shengnan Guo, Zheng Fang, Lingchen Zhao, Chao Shen, Cong Wang, Qian Wang
USENIX Security Symposium, 2025
[paper] [preprint] [code] [slides]
2024
- Zero-query Adversarial Attack on Black-box Automatic Speech Recognition Systems
Zheng Fang, Tao Wang, Lingchen Zhao, Shenyi Zhang, Bowen Li, Yunjie Ge, Qi Li, Chao Shen, Qian Wang
ACM SIGSAC Conference on Computer and Communications Security (CCS), 2024
[paper] [preprint] - Hijacking Attacks against Neural Networks by Analyzing Training Data
Yunjie Ge, Qian Wang, Huayang Huang, Qi Li, Cong Wang, Chao Shen, Lingchen Zhao, Peipei Jiang, Zheng Fang, Shenyi Zhang
USENIX Security Symposium, 2024
[paper] [preprint] [code] - Enhancing the Transferability of Adversarial Examples with Noise Injection Augmentation
Yiheng Duan, Yunjie Ge, Zixuan Wang, Jiayi Yu, Shenyi Zhang, Libing Wu
IEEE International Conference on Multimedia and Expo (ICME), 2024
[paper] - Perception-driven Imperceptible Adversarial Attack against Decision-based Black-box Models
Shenyi Zhang, Baolin Zheng, Peipei Jiang, Lingchen Zhao, Chao Shen, Qian Wang
IEEE Transactions on Information Forensics and Security (TIFS), 2024
[paper] [code]
2021
- Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information
Baolin Zheng, Peipei Jiang, Qian Wang, Qi Li, Chao Shen, Cong Wang, Yunjie Ge, Qingyang Teng, Shenyi Zhang
ACM SIGSAC Conference on Computer and Communications Security (CCS), 2021
[paper] [preprint]
Services
- Program Committees
- Artifact Evaluation Committee, USENIX Security Symposium (USENIX Security) 2026
- Conference Reviewers
- ACM Multimedia Conference (ACM MM) 2025, 2026
- IEEE International Conference on Multimedia and Expo (ICME) 2024, 2025, 2026
- International Joint Conference on Neural Networks (IJCNN) 2025, 2026
- IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS) 2025
- Journal Reviewers
- IEEE Transactions on Information Forensics and Security (TIFS)
- IEEE Transactions on Dependable and Secure Computing (TDSC)
- IEEE Transactions on Multimedia (TMM)
- IEEE Transactions on Emerging Topics in Computing (TETC)
- IEEE/ACM Transactions on Networking (TON)
- ACM Transactions on Knowledge Discovery from Data (TKDD)
- ACM Transactions on Cyber-Physical Systems (TCPS)
- ACM Transactions on Internet Technology (TOIT)
- Computer Vision and Image Understanding (CVIU)
- Information Sciences
- Knowledge-Based Systems (KBS)
- Neurocomputing
