Recent works have shown that generative models leave unique traces on generated samples.
The proposed definition significantly improves performance on model attribution.
Fingerprint is a non-zero set if two distributions have unequal supports.
Our method outperforms existing methods on model attribution.
FDR ratios are significantly higher for learned representations compared to hand-crafted or frequency-based fingerprints.
Kutipan
"Recent works have shown that generative models leave unique traces of computations on their samples."
"We find that using our proposed definition can significantly improve the performance on the task of identifying the underlying generative process from samples."
"Fingerprint is a non-zero set if two distributions have unequal supports."
"Our method outperforms all existing methods on all datasets by meaningful margins."
"The FDRs are significantly higher for learned representations than color-based or frequency-based fingerprints."