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When the Editing Intent Is Split: A Cross-Modal Jailbreak Attack for Large Image Editing Models
Large image editing models increasingly infer editing intent from both textual and visual inputs, creating an underexplored safety risk when harmful intent is distributed across modalities. In this work, we formalize this split-intent vulnerability and propose the Split-Intent Jailbreak Attack (SIJA
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