Spread them Apart: Towards Robust Watermarking of Generated Content

Researchers propose a new watermarking approach for AI-generated content that embeds detectable marks during model inference without requiring retraining. The method aims to address ethical concerns about ownership claims of generated content by allowing future detection and user identification.