A step-by-step multimodal 'chain of attack' improves the transferability of targeted adversarial images against open vision-language models, with a new LLM-judged success metric.
One transformer fits all distributions in multi-modal diffu- sion at scale
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Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks
A step-by-step multimodal 'chain of attack' improves the transferability of targeted adversarial images against open vision-language models, with a new LLM-judged success metric.