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Main Authors: Lu, Chengda, Fan, Xiaoyu, Huang, Yu, Xu, Rongwu, Li, Jijie, Xu, Wei
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2505.17650
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author Lu, Chengda
Fan, Xiaoyu
Huang, Yu
Xu, Rongwu
Li, Jijie
Xu, Wei
author_facet Lu, Chengda
Fan, Xiaoyu
Huang, Yu
Xu, Rongwu
Li, Jijie
Xu, Wei
contents Jailbreak attacks have been observed to largely fail against recent reasoning models enhanced by Chain-of-Thought (CoT) reasoning. However, the underlying mechanism remains underexplored, and relying solely on reasoning capacity may raise security concerns. In this paper, we try to answer the question: Does CoT reasoning really reduce harmfulness from jailbreaking? Through rigorous theoretical analysis, we demonstrate that CoT reasoning has dual effects on jailbreaking harmfulness. Based on the theoretical insights, we propose a novel jailbreak method, FicDetail, whose practical performance validates our theoretical findings.
format Preprint
id arxiv_https___arxiv_org_abs_2505_17650
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Does Chain-of-Thought Reasoning Really Reduce Harmfulness from Jailbreaking?
Lu, Chengda
Fan, Xiaoyu
Huang, Yu
Xu, Rongwu
Li, Jijie
Xu, Wei
Artificial Intelligence
Jailbreak attacks have been observed to largely fail against recent reasoning models enhanced by Chain-of-Thought (CoT) reasoning. However, the underlying mechanism remains underexplored, and relying solely on reasoning capacity may raise security concerns. In this paper, we try to answer the question: Does CoT reasoning really reduce harmfulness from jailbreaking? Through rigorous theoretical analysis, we demonstrate that CoT reasoning has dual effects on jailbreaking harmfulness. Based on the theoretical insights, we propose a novel jailbreak method, FicDetail, whose practical performance validates our theoretical findings.
title Does Chain-of-Thought Reasoning Really Reduce Harmfulness from Jailbreaking?
topic Artificial Intelligence
url https://arxiv.org/abs/2505.17650