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Chen Xiong

2 accepted papers

2025

CoP: Agentic Red-teaming for Large Language Models using Composition of Principles

NeurIPS 2025poster

Recent advances in Large Language Models (LLMs) have spurred transformative applications in various domains, ranging from open-source to proprietary LLMs. However, jailbreak attacks, which aim to break safety alignment and user compliance by tricking the target LLMs into answering harmful and risky…

Cited by 0SourceScholar
2025

Defensive Prompt Patch: A Robust and Generalizable Defense of Large Language Models against Jailbreak Attacks

ACL 2025finding

Safety, security, and compliance are essential requirements when aligning large language models (LLMs). However, many seemingly aligned LLMs are soon shown to be susceptible to jailbreak attacks. These attacks aim to circumvent the models’ safety guardrails and security mechanisms by introducing jai…