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ResearchFormerly WizWand

Image Classification on CIFAR-100 (test) (Adversarial Robustness Metrics)

59.57Clean AccuracySAAD-C
53.12254.79656.4758.144Dec 11, 2025
Updated 8mo ago

Evaluation results

MethodLinks
SAAD-CStudent Model=ResNet-18, Teacher Model=WRN-70-16 (Wang2023Better)2025.1259.5736.0532.5228.7227.21
SAADStudent Model=ResNet-18, Teacher Model=WRN-70-16 (Wang2023Better)2025.1259.1136.0132.7129.3627.58
AdaADStudent Model=ResNet-18, Teacher Model=WRN-70-16 (Wang2023Better)2025.1258.5731.722824.423.15
AKDStudent Model=ResNet-18, Teacher Model=WRN-70-16 (Wang2023Better)2025.1258.2229.1424.3521.820.61
ARDStudent Model=ResNet-18, Teacher Model=WRN-70-16 (Wang2023Better)2025.1258.1329.7124.9722.2220.84
IADStudent Model=ResNet-18, Teacher Model=WRN-70-16 (Wang2023Better)2025.1257.5929.8525.2122.4121
RSLADStudent Model=ResNet-18, Teacher Model=WRN-70-16 (Wang2023Better)2025.1256.6830.8727.2723.9122.66
IGDMStudent Model=ResNet-18, Teacher Model=WRN-70-16 (Wang2023Better)2025.1256.3632.9529.6825.9124.81
PGD-ATStudent Model=ResNet-18, Teacher Model=WRN-70-16 (Wang2023Better)2025.1256.1724.7419.6519.7918.66
TRADESStudent Model=ResNet-18, Teacher Model=WRN-70-16 (Wang2023Better)2025.1253.3728.7225.1223.1122.32