Welcome to my homepage!
I am currently a Professor at School of Cybersecurity, Tianjin University. Before that, I was a Research Fellow at Nanyang Technological University, Singapore, working with Prof. Tianwei Zhang and Prof. Yang Liu. I received my Ph.D. degree from Nanyang Technological University advised by Prof. Tianwei Zhang, M.Eng. degree from Tianjin University under the supervision of Prof. Jianye Hao and B.Eng. degree from University of Electronic Science and Technology of China.
Research Interests
- Trustworthy AI
- Safety Evaluation for Foundation Models and Agents
- Embodied AI Safety and Secure Decision Making
Open Positions
I am actively seeking highly self-motivated Master’s students, PhD students, and postdoctoral researchers to join my research group. If you are interested, please send me your CV and a brief description of your research interests by email.
Publications
TEAR: Temporal-aware Automated Red-teaming for Text-to-Video Models
Jiaming He, Guanyu Hou, Hongwei Li, Zhicong Huang, Kangjie Chen, Yi Yu, Wenbo Jiang, Guowen Xu, Tianwei Zhang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026, OralUnmasking Backdoors: An Explainable Defense via Gradient-Attention Anomaly Scoring for Pre-trained Language Models
Anindya Sundar Das, Kangjie Chen#, Monowar Bhuyan
The Fourteenth International Conference on Learning Representations (ICLR), 2026Towards Effective Prompt Stealing Attack against Text-to-Image Diffusion Models
Shiqian Zhao, Chong Wang, Yiming Li, Yihao Huang, Wenjie Qu, Siew-Kei Lam, Yi Xie, Kangjie Chen, Jie Zhang, Tianwei Zhang
The Network and Distributed System Security Symposium (NDSS), 2026Transstratal Adversarial Attack: Compromising Multi-Layered Defenses in Text-to-Image Models
Chunlong Xie*, Kangjie Chen*, Shangwei Guo, Shudong Zhang, Tianwei Zhang, Tao Xiang
The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025, SpotlightAnalogy-based Multi-Turn Jailbreak against Large Language Models
Mengjie Wu, Zhenjun Lin, Yihao Huang, Kangjie Chen, Yuyang Zhang, Yuhan Huang, Run Wang, Lina Wang
The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025Impact-driven Context Filtering For Cross-file Code Completion
Yanzhou Li, Shangqing Liu, Kangjie Chen, Tianwei Zhang, Yang Liu
The 2nd Conference on Language Modeling (COLM), 2025Automated Red Teaming for Text-to-Image Models through Feedback-Guided Prompt Iteration with Vision-Language Models
Wei Xu*, Kangjie Chen*, Jiawei Qiu, Yuyang Zhang, Run Wang, Jin Mao, Tianwei Zhang, Lina Wang
IEEE International Conference on Computer Vision (ICCV), 2025USD: NSFW Content Detection for Text-to-Image Models via Scene Graph
Yuyang Zhang*, Kangjie Chen*, Xudong Jiang, Jiahui Wen, Yihui Jin, Ziyou Liang, Yihao Huang, Run Wang, Lina Wang
The 34th USENIX Security Symposium (USENIX Security), 2025TRUST-VLM: Thorough Red-teaming for Uncovering Safety Threats in Vision-Language Models
Kangjie Chen, Muyang Li, Guanlin Li, Shudong Zhang, Shangwei Guo, Tianwei Zhang
International Conference on Machine Learning (ICML), 2025ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users
Guanlin Li, Kangjie Chen#, Shudong Zhang, Jie Zhang, Tianwei Zhang
The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024EvilEdit: Backdooring Text-to-Image Diffusion Models in One Second
Hao Wang, Shangwei Guo, Jialing He, Kangjie Chen, Shudong Zhang, Tianwei Zhang, Tao Xiang
The 32nd ACM Multimedia Conference (ACM MM), 2024Boosting Black-box Attack to Deep Neural Networks with Conditional Diffusion Models
Renyang Liu, Wei Zhou, Tianwei Zhang, Kangjie Chen, Jun Zhao, and Kwok-Yan Lam
The IEEE Transactions on Information Forensics & Security (TIFS), 2024Protecting Confidential Virtual Machines from Hardware Performance Counter Side Channels
Xiaoxuan Lou*, Kangjie Chen*, Guowen Xu, Han Qiu, Shangwei Guo, and Tianwei Zhang
The 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2024BadEdit: Backdooring Large Language Models by Model Editing
Yanzhou Li, Tianlin Li#, Kangjie Chen#, Jian Zhang, Shangqing Liu, Wenhan Wang, Tianwei Zhang, and Yang Liu
International Conference on Learning Representations (ICLR), 2024GuardHFL: Privacy Guardian for Heterogeneous Federated Learning
Hanxiao Chen, Meng Hao, Hongwei Li, Kangjie Chen, Guowen Xu, Tianwei Zhang, Xilin Zhang
International Conference on Machine Learning (ICML), 2023Multi-target Backdoor Attacks for Code Pre-trained Models
Yanzhou Li, Shangqing Liu, Kangjie Chen, Xiaofei Xie, Tianwei Zhang, and Yang Liu
The 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only
Kangjie Chen, Xiaoxuan Lou, Guowen Xu, Jiwei Li, Tianwei Zhang
International Conference on Learning Representations (ICLR), 2023, OralADS-lead: Lifelong Anomaly Detection in Autonomous Driving Systems
Xingshuo Han, Yuan Zhou, Kangjie Chen, Han Qiu, Meikang Qiu, Yang Liu, Tianwei Zhang
IEEE Transactions on Intelligent Transportation Systems (TITS), Volume: 24, Issue: 1, 2023BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models
Kangjie Chen, Yuxian Meng, Xiaofei Sun, Shangwei Guo, Tianwei Zhang, Jiwei Li, Chun Fan
International Conference on Learning Representations (ICLR), 2022Stealing Deep Reinforcement Learning Models for Fun and Profit
Kangjie Chen, Shangwei Guo, Tianwei Zhang, Xiaofei Xie, Yang Liu
ACM ASIA Conference on Computer and Communications Security (AsiaCCS), 2021Temporal Watermarks for Deep Reinforcement Learning Models
Kangjie Chen, Shangwei Guo, Tianwei Zhang, Shuxin Li, Yang Liu
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2021A Unified Anomaly Detection Methodology for Lane-Following of Autonomous Driving Systems
Xingshuo Han, Kangjie Chen, Yuan Zhou, Meikang Qiu, Chun Fan, Yang Liu, Tianwei Zhang
IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), 2021, Most Innovative Paper AwardVulnerability Assessment of Deep Reinforcement Learning Models for Power System Topology Optimization
Yan Zheng, Ziming Yan, Kangjie Chen, Jianwen Sun, Yan Xu, Yang Liu
IEEE Transactions on Smart Grid, Volume: 12, Issue: 4, 2021Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning
Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen, Yang Liu
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020
Professional Services
- Conference Reviewer for ICML, ICLR, NeurIPS, CVPR, AAAI, IJCAI, ICCV
- Journal Reviewer for TDSC, TIFS, TIP, TMM, TCSVT
Teaching
- Introduction to Computational Thinking and Programming (SC1003), Teaching Assistant, 2022 Fall, Nanyang Technological University