Found at “Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models” on 2026-08-14T14:45:44+02:00.

Watermarking generative models consists of planting a statistical signal (watermark) in a model’s output so that it can be later verified that the output was generated by the given model. A strong watermarking scheme satisfies the property that a computationally bounded attacker cannot erase the watermark without causing significant quality degradation.