Dual-Adversarial Safety Alignment: Cultivating Intrinsic Threat Comprehension in LRMs

Large reasoning models (LRMs) achieve remarkable success on complex tasks but remain vulnerable to harmful prompts that induce unsafe outputs. Recent methods align LRMs using direct refusals or safety rationales, yet often focus on prompt patterns rather than intrinsic attack mechanisms. As a result, these pattern-centric alignments struggle to generalize across diverse jailbreaks, compromising adversarial robustness and reasoning utility. We propose AdvSafe, a dual-adversarial framework that en

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ethics.ai (10 August 2026), “Dual-Adversarial Safety Alignment: Cultivating Intrinsic Threat Comprehension in LRMs,” evidence record 18007, https://ethics.ai/record/18007 (originally published by arXiv).

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