Xuan Chen

According to our database, Xuan Chen authored at least 16 papers between 2023 and 2026.

Collaborative distances:

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

2026

Diagnosing Live Within-Policy Instruction Conflicts in LLM Agents with Witnessed Resolution Profiles.

Lu Yan, Xuan Chen, Xiangyu Zhang

CoRR, May, 2026

Who Tests the Testers? Systematic Enumeration and Coverage Audit of LLM Agent Tool Call Safety.

Xuan Chen, Lu Yan, Ruqi Zhang, Xiangyu Zhang

CoRR, March, 2026

When the Specification Emerges: Benchmarking Faithfulness Loss in Long-Horizon Coding Agents.

Lu Yan, Xuan Chen, Xiangyu Zhang

CoRR, March, 2026

2025

Temporal Logic-Based Multi-Vehicle Backdoor Attacks against Offline RL Agents in End-to-end Autonomous Driving.

Xuan Chen, Shiwei Feng, Zikang Xiong, Shengwei An, Yunshu Mao, Lu Yan, Guanhong Tao, Wenbo Guo, Xiangyu Zhang

CoRR, September, 2025

ASTRA: Autonomous Spatial-Temporal Red-teaming for AI Software Assistants.

Xiangzhe Xu, Guangyu Shen, Zian Su, Siyuan Cheng, Hanxi Guo, Lu Yan, Xuan Chen, Jiasheng Jiang, Xiaolong Jin, Chengpeng Wang, Zhuo Zhang, Xiangyu Zhang

CoRR, August, 2025

MGC: A Compiler Framework Exploiting Compositional Blindness in Aligned LLMs for Malware Generation.

Lu Yan, Zhuo Zhang, Xiangzhe Xu, Shengwei An, Guangyu Shen, Zhou Xuan, Xuan Chen, Xiangyu Zhang

CoRR, July, 2025

IntenTest: Stress Testing for Intent Integrity in API-Calling LLM Agents.

Shiwei Feng, Xiangzhe Xu, Xuan Chen, Kaiyuan Zhang, Syed Yusuf Ahmed, Zian Su, Mingwei Zheng, Xiangyu Zhang

CoRR, June, 2025

TAI3: Testing Agent Integrity in Interpreting User Intent.

Shiwei Feng, Xiangzhe Xu, Xuan Chen, Kaiyuan Zhang, Syed Yusuf Ahmed, Zian Su, Mingwei Zheng, Xiangyu Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

EffiTune: Diagnosing and Mitigating Training Inefficiency for Parameter Tuner in Robot Navigation System.

Shiwei Feng, Xuan Chen, Zikang Xiong, Zhiyuan Cheng, Yifei Gao, Siyuan Cheng, Sayali Kate, Xiangyu Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

System Prompt Hijacking via Permutation Triggers in LLM Supply Chains.

Lu Yan, Siyuan Cheng, Xuan Chen, Kaiyuan Zhang, Guangyu Shen, Xiangyu Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

ASPIRER: Bypassing System Prompts With Permutation-based Backdoors in LLMs.

Lu Yan, Siyuan Cheng, Xuan Chen, Kaiyuan Zhang, Guangyu Shen, Zhuo Zhang, Xiangyu Zhang

CoRR, 2024

DIGIMON: Diagnosis and Mitigation of Sampling Skew for Reinforcement Learning based Meta-Planner in Robot Navigation.

Shiwei Feng, Xuan Chen, Zhiyuan Cheng, Zikang Xiong, Yifei Gao, Siyuan Cheng, Sayali Kate, Xiangyu Zhang

CoRR, 2024

RL-JACK: Reinforcement Learning-powered Black-box Jailbreaking Attack against LLMs.

Xuan Chen, Yuzhou Nie, Lu Yan, Yunshu Mao, Wenbo Guo, Xiangyu Zhang

CoRR, 2024

When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search.

Xuan Chen, Yuzhou Nie, Wenbo Guo, Xiangyu Zhang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP.

Lu Yan, Zhuo Zhang, Guanhong Tao, Kaiyuan Zhang, Xuan Chen, Guangyu Shen, Xiangyu Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning.

Xuan Chen, Wenbo Guo, Guanhong Tao, Xiangyu Zhang, Dawn Song

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023