Does Chain-of-Thought Reasoning Really Reduce Harmfulness from Jailbreaking?

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.

Publication Details

Journal
ArXiv.org
Published
2025-05-23
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
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article

Does Chain-of-Thought Reasoning Really Reduce Harmfulness from Jailbreaking?

ArXiv.org
Adversarial Robustness in Machine Learning
article

Does Chain-of-Thought Reasoning Really Reduce Harmfulness from Jailbreaking?

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Abstract

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.

ArXiv.org
National Natural Science Foundation of China
Peace, Justice and strong institutions
Openalex Percentile: Top 73%
Adversarial Robustness in Machine Learning
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Does Chain-of-Thought Reasoning Really Reduce Harmfulness from Jailbreaking? · ArXiv.org (2025) | TGRS Research Map | TGRS