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