How Fragile Is Your Watermark? Training-Free Structural Removal of Neural Audio Watermarks
Neural audio watermarks are increasingly used to attribute and detect AI-generated speech, so their practical value rests on how cheaply an adversary can remove them. Robustness is usually measured by running a fixed battery of distortions blindly against every scheme. We instead make removal diagnostic: from a few cle...