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Subtoxic Questions: Dive Into Attitude Change of LLM's Response in Jailbreak Attempts
April 15, 2024, 4:47 a.m. | Tianyu Zhang, Zixuan Zhao, Jiaqi Huang, Jingyu Hua, Sheng Zhong
cs.CL updates on arXiv.org arxiv.org
Abstract: As Large Language Models (LLMs) of Prompt Jailbreaking are getting more and more attention, it is of great significance to raise a generalized research paradigm to evaluate attack strengths and a basic model to conduct subtler experiments. In this paper, we propose a novel approach by focusing on a set of target questions that are inherently more sensitive to jailbreak prompts, aiming to circumvent the limitations posed by enhanced LLM security. Through designing and analyzing …
abstract arxiv attention attitude basic change cs.ai cs.cl cs.cr generalized jailbreak jailbreaking language language models large language large language models llm llms paper paradigm prompt questions raise research significance type
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