A Watermark-Conditioned Diffusion Model for IP Protection

arXiv:2403.10893v1 Announce Type: new
Abstract: The ethical need to protect AI-generated content has been a significant concern in recent years. While existing watermarking strategies have demonstrated success in detecting synthetic content (detection), there has been limited exploration in identifying the users responsible for generating these outputs from a single model (owner identification). In this paper, we focus on both practical scenarios and propose a unified watermarking framework for content copyright protection within the context of diffusion models. Specifically, we consider …

arxiv cs.cr detection ethical generated identification ip protection protect protect ai protection responsible single strategies synthetic watermarking