Watermark-based Detection and Attribution of AI-Generated Content

arXiv:2404.04254v1 Announce Type: new
Abstract: Several companies--such as Google, Microsoft, and OpenAI--have deployed techniques to watermark AI-generated content to enable proactive detection. However, existing literature mainly focuses on user-agnostic detection. Attribution aims to further trace back the user of a generative-AI service who generated a given content detected as AI-generated. Despite its growing importance, attribution is largely unexplored. In this work, we aim to bridge this gap by providing the first systematic study on watermark-based, user-aware detection and attribution of …

arxiv attribution back companies cs.ai cs.cl cs.cr cs.cv cs.lg detection enable generated generative google literature microsoft openai proactive service techniques trace