Abstract: Conditional diffusion models (CDMs) are an emerging family of generative models that enable controllable, data-driven generation across a wide range of modalities. Through conditioning of ...
Abstract: Diffusion models pose risks of privacy breaches and copyright disputes, primarily stemming from the potential utilization of unauthorized data during the training phase. Membership inference ...