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Adversarial Robustness Evaluation on CIFAR-10-LT

81.92Clean AccuracyAT-BSL
53.184860.644968.10575.5651Apr 6, 2021Nov 29, 2021Jul 25, 2022Mar 20, 2023Nov 12, 2023Jul 7, 2024Mar 2, 2025

Evaluation results

MethodLinks
AT-BSLImbalance Ratio (IR)=1002025.0381.9254.5249.0343.6645.78—
AT-BSLImbalance Ratio (IR)=502025.0380.6852.7446.0538.9344.19—
REATImbalance Ratio=102025.0379.7241.2533.3917.531.85—
AT-BSLImbalance Ratio (IR)=202025.0378.345.437.9627.9936.4—
ATImbalance Ratio=102025.0377.9644.9837.724.4136.09—
AT-BSLImbalance Ratio (IR)=102025.0377.7443.5636.5322.7734.99—
AT-BSLImbalance Ratio=102025.0377.7443.5636.5322.7734.99—
HEImbalance Ratio=102025.0377.6146.1838.7322.337.26—
TAETImbalance Ratio (IR)=202025.0377.5747.6641.6955.5139.9—
TAETImbalance Ratio (IR)=502025.0377.5351.246.9839.244.62—
PlainBackbone=WideResNet-34-102021.0477.167.010000
ADTImbalance Ratio=102025.0376.9846.1839.4218.7838.1—
TAETImbalance Ratio (IR)=102025.0376.3144.3738.1753.6137.1—
TAETImbalance Ratio=102025.0376.3145.140.862.2139.24—
LAS-ATImbalance Ratio=102025.0376.0244.1638.2751.7336.15—
TRADESImbalance Ratio=102025.0375.6639.1732.7140.7631.83—
RoBal-NBackbone=WideResNet-34-10, Trade-off focus=Natural Accuracy2021.0475.5240.0433.533.6831.7234.57
RoBal-RBackbone=WideResNet-34-10, Trade-off focus=Robust Accuracy2021.0474.5140.5533.8734.1232.0434.92
TAETImbalance Ratio (IR)=1002025.0374.0951.9849.9566.7147.78—
GAIRATImbalance Ratio=102025.0371.4941.7736.8754.633.79—
MARTImbalance Ratio=102025.0369.844.4539.6634.3138.24—
AVmixupBackbone=WideResNet-34-102021.0466.9733.928.426.4324.3929.67
ATBackbone=WideResNet-34-102021.0462.3333.5729.330.3128.1530.02
MMABackbone=WideResNet-34-102021.0461.5136.429.2929.5925.9130.38
HEBackbone=WideResNet-34-102021.0458.4735.1731.7329.9628.4532.26
TRADESBackbone=WideResNet-34-102021.0454.2932.830.229.5828.9430.53