White-box Multimodal Jailbreaks Against Large Vision-Language Models
White-box Multimodal Jailbreaks Against Large Vision-Language Models
Recent advancements in Large Vision-Language Models (VLMs) have underscored their superiority in various multimodal tasks. However, the adversarial robustness of VLMs has not been fully explored. Existing methods mainly assess robustness through unimodal adversarial attacks that perturb images, while assuming inherent resilience against text-based attacks. Different from existing attacks, in …