AIBearisharXiv – CS AI · Apr 207/10
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Reasoning-targeted Jailbreak Attacks on Large Reasoning Models via Semantic Triggers and Psychological Framing
Researchers have discovered a critical vulnerability in Large Reasoning Models (LRMs) like DeepSeek R1 and OpenAI o4-mini that allows attackers to inject harmful content into the reasoning process while keeping final answers unchanged. The Psychology-based Reasoning-targeted Jailbreak Attack (PRJA) framework achieves an 83.6% success rate by exploiting semantic triggers and psychological principles, revealing a previously understudied safety gap in AI systems deployed in high-stakes domains.
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