Defending Against Man-In-The-Middle Attack in Repeated Games. - Shuxin Li 001; Xiaohong Li 001; Jianye Hao; Bo An 001; Zhiyong Feng 002; Kangjie Chen; Chengwei Zhang 001 (IJCAI, 2017)

Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning. - Jianwen Sun; Tianwei Zhang 004; Xiaofei Xie; Lei Ma 003; Yan Zheng 002; Kangjie Chen; Yang Liu 003 (AAAI, 2020)

Stealing Deep Reinforcement Learning Models for Fun and Profit. - Kangjie Chen; Tianwei Zhang 004; Xiaofei Xie; Yang Liu 003 (CoRR, 2020)

Stealing Deep Reinforcement Learning Models for Fun and Profit. - Kangjie Chen; Shangwei Guo; Tianwei Zhang 004; Xiaofei Xie; Yang Liu 003 (AsiaCCS, 2021)

Temporal Watermarks for Deep Reinforcement Learning Models. - Kangjie Chen; Shangwei Guo; Tianwei Zhang 004; Shuxin Li 001; Yang Liu 003 (AAMAS, 2021)

A Unified Anomaly Detection Methodology for Lane-Following of Autonomous Driving Systems. - Xingshuo Han; Kangjie Chen; Yuan Zhou 005; Meikang Qiu; Chun Fan 001; Yang Liu 003; Tianwei Zhang 004 (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Vulnerability Assessment of Deep Reinforcement Learning Models for Power System Topology Optimization. - Yan Zheng 002; Ziming Yan; Kangjie Chen; Jianwen Sun; Yan Xu 005; Yang Liu 003 (IEEE Trans. Smart Grid, 2021)

BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models. - Kangjie Chen; Yuxian Meng; Xiaofei Sun 001; Shangwei Guo; Tianwei Zhang 004; Jiwei Li 001; Chun Fan 001 (ICLR, 2022)

ShiftNAS: Towards Automatic Generation of Advanced Mulitplication-Less Neural Networks. - Xiaoxuan Lou; Guowen Xu; Kangjie Chen; Guanlin Li; Jiwei Li 001; Tianwei Zhang 004 (CoRR, 2022)

Multi-target Backdoor Attacks for Code Pre-trained Models. - Yanzhou Li; Shangqing Liu; Kangjie Chen; Xiaofei Xie; Tianwei Zhang 004; Yang Liu 003 (ACL (1), 2023)

Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only. - Kangjie Chen; Xiaoxuan Lou; Guowen Xu; Jiwei Li 001; Tianwei Zhang 004 (ICLR, 2023)

GuardHFL: Privacy Guardian for Heterogeneous Federated Learning. - Hanxiao Chen 001; Meng Hao 001; Hongwei Li 001; Kangjie Chen; Guowen Xu; Tianwei Zhang 004; Xilin Zhang (ICML, 2023)

Extracting Cloud-based Model with Prior Knowledge. - Shiqian Zhao; Kangjie Chen; Meng Hao 001; Jian Zhang 001; Guowen Xu; Hongwei Li 001; Tianwei Zhang 004 (CoRR, 2023)

Omnipotent Adversarial Training for Unknown Label-noisy and Imbalanced Datasets. - Guanlin Li; Kangjie Chen; Yuan Xu; Han Qiu 001; Tianwei Zhang 004 (CoRR, 2023)

ADS-Lead: Lifelong Anomaly Detection in Autonomous Driving Systems. - Xingshuo Han; Yuan Zhou 005; Kangjie Chen; Han Qiu 001; Meikang Qiu; Yang Liu 003; Tianwei Zhang 004 (IEEE Trans. Intell. Transp. Syst., 2023)

Protecting Confidential Virtual Machines from Hardware Performance Counter Side Channels. - Xiaoxuan Lou; Kangjie Chen; Guowen Xu; Han Qiu 001; Shangwei Guo; Tianwei Zhang 004 (DSN, 2024)

BadEdit: Backdooring Large Language Models by Model Editing. - Yanzhou Li; Tianlin Li; Kangjie Chen; Jian Zhang 087; Shangqing Liu; Wenhan Wang; Tianwei Zhang 004; Yang Liu 003 (ICLR, 2024)

EvilEdit: Backdooring Text-to-Image Diffusion Models in One Second. - Hao Wang 003; Shangwei Guo; Jialing He; Kangjie Chen; Shudong Zhang; Tianwei Zhang 004; Tao Xiang 001 (ACM Multimedia, 2024)

ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users. - Guanlin Li; Kangjie Chen; Shudong Zhang; Jie Zhang 073; Tianwei Zhang 004 (NeurIPS, 2024)

MIP: CLIP-based Image Reconstruction from PEFT Gradients. - Peiheng Zhou; Ming Hu 003; Xiaofei Xie; Yihao Huang 001; Kangjie Chen; Mingsong Chen 001 (CoRR, 2024)

ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users. - Guanlin Li; Kangjie Chen; Shudong Zhang; Jie Zhang; Tianwei Zhang 004 (CoRR, 2024)

SLGaussian: Fast Language Gaussian Splatting in Sparse Views. - Kangjie Chen; BingQuan Dai; Minghan Qin; Dongbin Zhang; Peihao Li 003; Yingshuang Zou; Haoqian Wang (CoRR, 2024)

Towards Action Hijacking of Large Language Model-based Agent. - Yuyang Zhang; Kangjie Chen; Xudong Jiang; Yuxiang Sun; Run Wang 001; Lina Wang 001 (CoRR, 2024)

Boosting Black-Box Attack to Deep Neural Networks With Conditional Diffusion Models. - Renyang Liu 001; Wei Zhou 011; Tianwei Zhang 004; Kangjie Chen; Jun Zhao 007; Kwok-Yan Lam (IEEE Trans. Inf. Forensics Secur., 2024)

HRAvatar: High-Quality and Relightable Gaussian Head Avatar. - Dongbin Zhang; Yunfei Liu 001; Lijian Lin; Ye Zhu 003; Kangjie Chen; Minghan Qin; Yu Li 003; Haoqian Wang (CVPR, 2025)

Picky LLMs and Unreliable RMs: An Empirical Study on Safety Alignment after Instruction Tuning. - Guanlin Li; Kangjie Chen; Shangwei Guo; Jie Zhang 073; Han Qiu 001; Chao Zhang 008; Guoyin Wang 002; Tianwei Zhang 004; Jiwei Li 001 (CoRR, 2025)

BadLingual: A Novel Lingual-Backdoor Attack against Large Language Models. - Zihan Wang; Hongwei Li 001; Rui Zhang 003; Wenbo Jiang 001; Kangjie Chen; Tianwei Zhang 004; Qingchuan Zhao; Guowen Xu (CoRR, 2025)

Coward: Toward Practical Proactive Federated Backdoor Defense via Collision-based Watermark. - Wenjie Li 008; Siying Gu; Yiming Li 004; Kangjie Chen; Zhili Chen; Tianwei Zhang 004; Shu-Tao Xia; Dacheng Tao (CoRR, 2025)

Impact-driven Context Filtering For Cross-file Code Completion. - Yanzhou Li; Shangqing Liu; Kangjie Chen; Tianwei Zhang; Yang Liu (CoRR, 2025)

Towards Effective Prompt Stealing Attack against Text-to-Image Diffusion Models. - Shiqian Zhao; Chong Wang 013; Yiming Li 004; Yihao Huang 001; Wenjie Qu 001; Siew-Kei Lam; Yi Xie 011; Kangjie Chen; Jie Zhang 073; Tianwei Zhang 004 (CoRR, 2025)

Quantifying and Alleviating Co-Adaptation in Sparse-View 3D Gaussian Splatting. - Kangjie Chen; Yingji Zhong; Zhihao Li; Jiaqi Lin; Youyu Chen; Minghan Qin; Haoqian Wang (CoRR, 2025)