Papers by Chongxin Li
Attack as Defense: Safeguarding Large Vision-Language Models from Jailbreaking by Adversarial Attacks (2025.findings-emnlp)
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| Challenge: | adversarial vulnerabilities in vision-language systems pose a challenge to reliability of large systems . typographic manipulations and adversarial perturbations can bypass language model defenses . |
| Approach: | They propose a method that embeds perturbations in vision to disrupt attacks . they use cross-modal interactions to enhance adversarial robustness through perturbations . |
| Outcome: | The proposed approach reduces attack success rates for typographic attacks and adversarial perturbations by integrating visual defenses into the model. |