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Visual Grounding Safety in Vision-Language Models

Shayegani, Erfan et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitioncomputers-and-societycryptography-and-securitymachine-learning
Vision-language models (VLMs) are increasingly trained to generate structured outputs like points and bounding boxes that downstream interfaces, agents, and robots can act on, yet safety alignment of this output channel has not been systematically analyzed. We study visual grounding safety by repurp
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