AI RESEARCH
Challenging Vision-Language Models with Physically Deployable Multimodal Semantic Lighting Attacks
arXiv CS.CV
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ArXi:2604.12833v1 Announce Type: new Vision-Language Models (VLMs) have shown remarkable performance, yet their security remains insufficiently understood. Existing adversarial studies focus almost exclusively on the digital setting, leaving physical-world threats largely unexplored. As VLMs are increasingly deployed in real environments, this gap becomes critical, since adversarial perturbations must be physically realizable. Despite this practical relevance, physical attacks against VLMs have not been systematically studied.