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Image Classification on Tiny-ImageNet (Adversarial Robustness)

47.86Clean AccuracyLAS-AWP
36.388839.366942.34545.3231Apr 27, 2026

Evaluation results

MethodLinks
LAS-AWPSteps=10, Type=Best2026.0447.8630.7723.9824.123.6723.618.2120.4923.51
LAS-AWPSteps=10, Type=Final2026.0447.8630.7723.9824.123.6723.618.2120.4923.51
N-FGSMSteps=1, Type=Best2026.0446.0624.7216.6716.7416.2116.0212.7114.9616.22
N-FGSMSteps=1, Type=Final2026.0446.0624.7216.6716.7416.2116.0212.7114.9616.22
GATSteps=1, Type=Best2026.044623.0414.9615.1614.5114.3310.8213.2714.38
GATSteps=1, Type=Final2026.0445.5722.114.3814.5614.0313.8510.2612.7113.9
FGSM-SDISteps=1, Type=Final2026.0445.424.7617.1517.2716.8416.7312.4714.816.97
FGSM-PGISteps=1, Type=Final2026.0445.1328.1121.4321.5121.1921.0714.8616.8621.14
OursSteps=1, Type=Final2026.0444.8329.7423.423.6423.2423.0715.9417.8522.95
FGSM-FreeSteps=-, Type=Best2026.0444.1525.1817.8117.9517.4717.3113.6715.8217.32
FGSM-FreeSteps=-, Type=Final2026.0444.1525.1817.8117.9517.4717.3113.6715.8217.32
TDATSteps=1, Type=Final2026.0443.9229.3123.0623.2922.8522.7415.8717.5422.5
FGSM-SDISteps=1, Type=Best2026.0443.7126.8420.4820.620.2620.1115.4317.1620.13
FGSM-RSSteps=1, Type=Best2026.0443.5223.9317.1217.2216.8216.6413.0914.6716.72
FGSM-RSSteps=1, Type=Final2026.0443.5223.9317.1217.2216.8216.6413.0914.6716.72
OursSteps=1, Type=Best2026.0443.4429.3424.324.3524.0924.0616.8518.823.85
FGSM-PGISteps=1, Type=Best2026.0442.9828.5523.1923.2723.0122.921718.6722.91
TDATSteps=1, Type=Best2026.0442.5129.4423.7823.9823.6323.5616.6418.2123.28
MARTSteps=10, Type=Best2026.0438.4125.220.9120.9320.7420.6715.5316.8820.77
GradAlignSteps=1, Type=Best2026.0438.2222.8517.1317.216.8616.7912.641416.85
GradAlignSteps=1, Type=Final2026.0437.8922.5116.9517.0616.7816.6912.4913.916.68
MARTSteps=10, Type=Final2026.0436.8318.0212.2512.3612.0111.939.2610.3612.02