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Image Classification on CIFAR-10 (test) (Visual Corruption Robustness)

95.2Clean AccuracyNormal
70.65677.02883.489.772Feb 9, 2022

Evaluation results

MethodLinks
Normalsetup=†2022.0295.281.89488.192.193.700
Normalsetup=∗2022.029475.892.387.489.191.300
FATsetup=∗, norm=l∞2022.0288.16985.47773.176.554.751.5
Madrysetup=†, norm=l∞2022.028770.884.879.57779.953.549.2
AWPsetup=∗, norm=l∞2022.0285.467.5837768.370.859.456.2
Tradessetup=∗, norm=l∞2022.0284.965.782.777.569.770.755.852.5
GAT-fsetup=∗2022.0283.482.381.879.581.78143.640
GAT-fssetup=∗2022.0283.281.581.778.881.280.747.242.2
PAT_selfsetup=†2022.0282.464.379.874.172.57841.230.2
GAT-fsetup=†2022.0282.381.280.878.380.179.742.738.7
GAT-fssetup=†2022.0282.180.680.87880.479.546.641.9
PAT_alexsetup=†2022.0271.653.268.963.860.665.241.928.8