BrainwashedLLM: Jailbreaking via Automated Adversarial Chain of Thoughts Discovery

Reported by arXiv cs.CR (Masoud Poorghaffar Aghdam, G\"oktu\u{g} Serdar Y{\i}ld{\i}r{\i}m, Sinem Sav)

Summary by Cyber Security News4 Nov 2026, 06:00 CET

About this summary. This is a short excerpt from the description that arXiv cs.CR published with its article. Cyber Security News did not report or verify the underlying story. Read the original: https://arxiv.org/abs/2611.04717

arXiv:2611.04717v1 Announce Type: new Abstract: Large Reasoning Models (LRMs) achieve strong performance on complex tasks by generating explicit Chain-of-Thought (CoT) reasoning, but the safety implications of this intermediate reasoning surface remain underexplored. We demonstrate that the reasoning trace itself is a powerful attack vector.

Read the full article at arXiv cs.CR →

Source attribution: headline and facts are from arXiv cs.CR (arxiv.org). Summary method: excerpt of the source description. See our source attribution policy.

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