arXiv:2610.09240v1 Announce Type: new Abstract: Modern web agents built on large vision-language models process webpages, select relevant UI elements, and translate model outputs into browser actions. Existing visual red-teaming approaches use adversarial visual content to manipulate this process. However, they primarily target model inference and do not explicitly account for structured input processing or action post-processing.
Adversarial Images Hijack Web Agents from Visual Grounding to Browser Execution
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