Dong Yu
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THRD introduces a novel, training-free framework that models temporal risk accumulation to effectively defend against multi-turn jailbreak attacks on LLMs, significantly reducing attack success rates while maintaining model utility.
The paper demonstrates that explicit gender cues systematically affect LLM value trade-offs, causing decision flips that are often masked or misattributed by the models themselves.
Papers
THRD: A Training-Free Multi-Turn Defense Framework for Jailbreak Attacks on Large Language Models
Zhiqing Ma, Zhonghao Xu, Dong Yu, Chen Kang +2 more
THRD introduces a novel, training-free framework that models temporal risk accumulation to effectively defend against multi-turn jailbreak attacks on LLMs, significantly reducing attack success rates…