  Artists are increasingly concerned about advancements in image generation
models that can closely replicate their unique artistic styles. In response,
several protection tools against style mimicry have been developed that
incorporate small adversarial perturbations into artworks published online. In
this work, we evaluate the effectiveness of popular protections -- with
millions of downloads -- and show they only provide a false sense of security.
We find that low-effort and "off-the-shelf" techniques, such as image
upscaling, are sufficient to create robust mimicry methods that significantly
degrade existing protections. Through a user study, we demonstrate that all
existing protections can be easily bypassed, leaving artists vulnerable to
style mimicry. We caution that tools based on adversarial perturbations cannot
reliably protect artists from the misuse of generative AI, and urge the
development of alternative non-technological solutions.
