Kangjie Chen

According to our database, Kangjie Chen authored at least 31 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, August, 2025

Towards 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

CoRR, August, 2025

Impact-driven Context Filtering For Cross-file Code Completion.

Yanzhou Li, Shangqing Liu, Kangjie Chen, Tianwei Zhang, Yang Liu

CoRR, August, 2025

Coward: Toward Practical Proactive Federated Backdoor Defense via Collision-based Watermark.

Wenjie Li, Siying Gu, Yiming Li, Kangjie Chen, Zhili Chen, Tianwei Zhang, Shu-Tao Xia, Dacheng Tao

CoRR, August, 2025

BadLingual: A Novel Lingual-Backdoor Attack against Large Language Models.

Zihan Wang, Hongwei Li, Rui Zhang, Wenbo Jiang, Kangjie Chen, Tianwei Zhang, Qingchuan Zhao, Guowen Xu

CoRR, May, 2025

Picky LLMs and Unreliable RMs: An Empirical Study on Safety Alignment after Instruction Tuning.

Guanlin Li, Kangjie Chen, Shangwei Guo, Jie Zhang, Han Qiu, Chao Zhang, Guoyin Wang, Tianwei Zhang, Jiwei Li

CoRR, February, 2025

HRAvatar: High-Quality and Relightable Gaussian Head Avatar.

Dongbin Zhang, Yunfei Liu, Lijian Lin, Ye Zhu, Kangjie Chen, Minghan Qin, Yu Li, Haoqian Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Boosting Black-Box Attack to Deep Neural Networks With Conditional Diffusion Models.

Renyang Liu, Wei Zhou, Tianwei Zhang, Kangjie Chen, Jun Zhao, Kwok-Yan Lam

IEEE Trans. Inf. Forensics Secur., 2024

Towards Action Hijacking of Large Language Model-based Agent.

Yuyang Zhang, Kangjie Chen, Xudong Jiang, Yuxiang Sun, Run Wang, Lina Wang

CoRR, 2024

SLGaussian: Fast Language Gaussian Splatting in Sparse Views.

Kangjie Chen, BingQuan Dai, Minghan Qin, Dongbin Zhang, Peihao Li, Yingshuang Zou, Haoqian Wang

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

CoRR, 2024

MIP: CLIP-based Image Reconstruction from PEFT Gradients.

Peiheng Zhou, Ming Hu, Xiaofei Xie, Yihao Huang, Kangjie Chen, Mingsong Chen

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

EvilEdit: Backdooring Text-to-Image Diffusion Models in One Second.

Hao Wang, Shangwei Guo, Jialing He, Kangjie Chen, Shudong Zhang, Tianwei Zhang, Tao Xiang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

BadEdit: Backdooring Large Language Models by Model Editing.

Yanzhou Li, Tianlin Li, Kangjie Chen, Jian Zhang, Shangqing Liu, Wenhan Wang, Tianwei Zhang, Yang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Protecting Confidential Virtual Machines from Hardware Performance Counter Side Channels.

Xiaoxuan Lou, Kangjie Chen, Guowen Xu, Han Qiu, Shangwei Guo, Tianwei Zhang

Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2024

2023

ADS-Lead: Lifelong Anomaly Detection in Autonomous Driving Systems.

Xingshuo Han, Yuan Zhou, Kangjie Chen, Han Qiu, Meikang Qiu, Yang Liu, Tianwei Zhang

IEEE Trans. Intell. Transp. Syst., January, 2023

Omnipotent Adversarial Training for Unknown Label-noisy and Imbalanced Datasets.

Guanlin Li, Kangjie Chen, Yuan Xu, Han Qiu, Tianwei Zhang

CoRR, 2023

Extracting Cloud-based Model with Prior Knowledge.

Shiqian Zhao, Kangjie Chen, Meng Hao, Jian Zhang, Guowen Xu, Hongwei Li, Tianwei Zhang

CoRR, 2023

GuardHFL: Privacy Guardian for Heterogeneous Federated Learning.

Hanxiao Chen, Meng Hao, Hongwei Li, Kangjie Chen, Guowen Xu, Tianwei Zhang, Xilin Zhang

Proceedings of the International Conference on Machine Learning, 2023

Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only.

Kangjie Chen, Xiaoxuan Lou, Guowen Xu, Jiwei Li, Tianwei Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Multi-target Backdoor Attacks for Code Pre-trained Models.

Yanzhou Li, Shangqing Liu, Kangjie Chen, Xiaofei Xie, Tianwei Zhang, Yang Liu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

ShiftNAS: Towards Automatic Generation of Advanced Mulitplication-Less Neural Networks.

Xiaoxuan Lou, Guowen Xu, Kangjie Chen, Guanlin Li, Jiwei Li, Tianwei Zhang

CoRR, 2022

BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models.

Kangjie Chen, Yuxian Meng, Xiaofei Sun, Shangwei Guo, Tianwei Zhang, Jiwei Li, Chun Fan

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Vulnerability Assessment of Deep Reinforcement Learning Models for Power System Topology Optimization.

Yan Zheng, Ziming Yan, Kangjie Chen, Jianwen Sun, Yan Xu, Yang Liu

IEEE Trans. Smart Grid, 2021

A 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

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Temporal Watermarks for Deep Reinforcement Learning Models.

Kangjie Chen, Shangwei Guo, Tianwei Zhang, Shuxin Li, Yang Liu

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Stealing Deep Reinforcement Learning Models for Fun and Profit.

Kangjie Chen, Shangwei Guo, Tianwei Zhang, Xiaofei Xie, Yang Liu

Proceedings of the ASIA CCS '21: ACM Asia Conference on Computer and Communications Security, 2021

2020

Stealing Deep Reinforcement Learning Models for Fun and Profit.

Kangjie Chen, Tianwei Zhang, Xiaofei Xie, Yang Liu

CoRR, 2020

Stealthy 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 Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2017

Defending Against Man-In-The-Middle Attack in Repeated Games.

Shuxin Li, Xiaohong Li, Jianye Hao, Bo An, Zhiyong Feng, Kangjie Chen, Chengwei Zhang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017