Who Made This? Fake Detection and Source Attribution with Diffusion Features

ArXi:2510.27602v2 Announce Type: replace The rapid rise of generative models has yielded synthetic images of striking realism, blurring the line between real and fake content. As novel models proliferate, detectors must go beyond mere fake identification to robustly generalise across unseen generators and synthetic content. We