Preprint
Aug 2026
Scalable Black-Box Model Attribution for Images
A lightweight CNN that attributes more models at higher accuracy than prior work, reaching 98.9% on 25-class DRAGON and 95.0% on 27-class OpenFake; runs in a few milliseconds at a cost nearly independent of candidate-set size; and remains robust to transformations encountered in the wild.
Asaf Livne, Amir Jevnisek, S. Avidan
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