Papers with Real Intentions Defense
Unraveling the Mystery: Defending Against Jailbreak Attacks Via Unearthing Real Intention (2025.coling-main)
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| Challenge: | Large Language Models (LLMs) are increasingly vulnerable to elusive and implicit intentions, causing security risks and compromising user experience. |
| Approach: | They propose a method to detect and mitigate implicit jailbreak attacks using LLMs by unearthing real intentions and a greedy gradient-based algorithm to remove the least important parts of a sentence. |
| Outcome: | The proposed method reduces attacks success rate and Harmful Score while maintaining overall model performance. |