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A Survey on Adversarial Attacks and Defenses for Diffusion Models Across Multiple Modalities

arXiv · AI, language, vision and robotics · article · Aug 28, 2026 · UTC

Diffusion models have become the dominant family of generative models in the visual domain. However, their widespread public availability enables misuse at scale, motivating a rapidly growing body of research on adversarial attacks and defenses. This survey provides, to our knowledge, the first unified review of this literature across three visual modalities: image, video, and 3D. We introduce a comprehensive, task-centric taxonomy: we first divide the literature by modality; within each modality, we separate methods into attacks and defenses, and then group them by the generative task they ta

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