If you’re waiting for a sign… that might not be it! Mitigating Trust Boundary Confusion from Visual Injections on Vision-Language Agentic Systems
arXiv:2604.19844v1 Announce Type: new
Abstract: Recent advances in embodied Vision-Language Agentic Systems (VLAS), powered by large vision-language models (LVLMs), enable AI systems to perceive and reason over real-world scenes. Within this context, …