Closed-Loop Bidirectional Prompting for Adversarial Robustness of Vision Language Models 事件

Closed-Loop Bidirectional Prompting for Adversarial Robustness of Vision Language Models arXiv:2605.25922v1 Announce Type: new Abstract: Vision Language Models adapt well to downstream tasks but are highly vulnerable to adversarial perturbations that disrupt cross-modal semantic alignment. Existing defenses are largely unidirectional or structural, failing to exploit bidirectional cross-modal complementarity and instance-wise adaptive protection. To overcome the limitations of unidirectional an