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Scenes as an Attack Surface: Uncovering Scene-Grounded Safety Failures in MLLMs
Existing jailbreak attacks have exposed serious safety weaknesses in multimodal large language models (MLLMs). Most prior attacks rely on specially constructed visual inputs to carry or support harmful intent. In this paper, we uncover a different vulnerability: task-relevant scene semantics alone c
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