Watermark-based Detection and Attribution of AI-Generated Content: A Systematic Study

Watermark-based detection and attribution is a promising technique to mitigate ethical concerns around generative AI, such as generating harmful content or false copyright claims. This work provides the first systematic study on watermark-based, user-aware detection and attribution of AI-generated content, including theoretical analysis, algorithm development, and extensive empirical evaluation.