Artificial Intelligence is capable of breaking 99% of invisible watermarks in artwork
Invisible watermarks that protect an artist’s work are removable using generative AI models, according to a study by researchers from the Universities of California, Santa...
Invisible watermarks that protect an artist’s work are removable using generative AI models, according to a study by researchers from the Universities of California, Santa Barbara and Carnegie Mellon. The study launched what’s known as a series of “regeneration attacks” powered by AI to test the strength of invisible watermarks in several artworks. Such attacks refer to various methods that aim to “degrade or remove invisible watermarks in images”. In the study, they included: Brightness or contrast adjustment: Changing the parameters of an image’s brightness or contrast to make the watermark harder to detect; JPEG compression: Compressing an image to...