AI RESEARCH
CtrlAttack: A Unified Attack on World-Model Control in Diffusion Models
arXiv CS.AI
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ArXi:2603.13435v1 Announce Type: cross Diffusion-based image-to-video (I2V) models increasingly exhibit world-model-like properties by implicitly capturing temporal dynamics. However, existing studies have mainly focused on visual quality and controllability, and the robustness of the state transition learned by the model remains understudied. To fill this gap, we are the first to analyze the vulnerability of I2V models, find that temporal control mechanisms constitute a new attack surface, and reveal the challenge of modeling them uniformly under different attack settings.