/attacking_perceptual_similarity_metrics

[TMLR 2023] as a featured article (spotlight :star2: or top 0.01% of the accepted papers). In this study, we systematically examine the robustness of both traditional and learned perceptual similarity metrics to imperceptible adversarial perturbations.

Primary LanguagePythonBSD 2-Clause "Simplified" LicenseBSD-2-Clause

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