Welcome to my homepage!
I am currently a fourth-year Ph.D. student at Nanyang Technological University, Singapore. I am a recipient of AISG PhD Fellowship, advised by Prof. Tianwei Zhang. Before that, I received my 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
- AI Security and Privacy
- Pre-trained Language Model
- Reinforcement Learning
- Computer Vision
Publications [Google Scholar]
Boosting 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), Jun 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), May 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), Jul 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), Jul 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), May 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, Jan 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), Apr 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), Jun 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), May 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), Oct 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, July 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), Apr 2020
Professional Services
- Conference Reviewer for ICML, NeurIPS, ICLR, CVPR, AAAI, IJCAI
- Journal Reviewer for TDSC, TIP, TCSVT
Teaching
- Introduction to Computational Thinking and Programming (SC1003), Teaching Assistant, 2022 Fall, Nanyang Technological University
Invited Talks
- “Temporal Watermarks for Deep Reinforcement Learning Models”,
Student Lecture Series (SLS), Nanyang Technological University, 23 June 2021.