An attention-guided RL reward combined with diverse persuasion strategies produces higher attack success rates against large reasoning models than prior jailbreak methods.
arXiv preprint arXiv:2503.17726 (2025)
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Proposes a three-layer framework using formal AI reasoning for verification, derivation, and discovery in wireless communications theory.
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Attention-Guided Reward for Reinforcement Learning-based Jailbreak against Large Reasoning Models
An attention-guided RL reward combined with diverse persuasion strategies produces higher attack success rates against large reasoning models than prior jailbreak methods.
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