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ResearchFormerly WizWand

Image Classification on CIFAR-10 (Gauss, SUAP, GSUAP, VIP)

95.2Gauss ScoreGSUAP
6.829.7552.775.65May 15, 2026
Updated 5mo ago

Evaluation results

MethodLinks
GSUAPModel=ResNet-50, Ratio (%)=202026.0595.287.279.295.8
GSUAPModel=ResNet-18, Ratio (%)=202026.0593.693.288.694.5
GSUAPModel=ResNet-18, Ratio (%)=402026.0587.481.436.494.5
GSUAPModel=ResNet-18, Ratio (%)=602026.0585.47213.694.5
GSUAPModel=ResNet-50, Ratio (%)=402026.0583.865.247.895.8
GSUAPModel=ResNet-18, Ratio (%)=802026.0580.2671194.5
GSUAPModel=ResNet-50, Ratio (%)=602026.0574.247.825.695.8
GSUAPModel=ResNet-18, Ratio (%)=1002026.0573.648.410.694.5
GSUAPModel=ResNet-50, Ratio (%)=802026.0572.64211.295.8
GSUAPModel=ViT-Tiny, Ratio (%)=202026.0571.64927.891.8
GSUAPModel=ResNet-50, Ratio (%)=1002026.0568.632.4995.8
GSUAPModel=ViT-Small, Ratio (%)=202026.0555.622.613.689.4
GSUAPModel=ViT-Tiny, Ratio (%)=402026.055116.611.691.8
GSUAPModel=ViT-Tiny, Ratio (%)=602026.0539.813.611.891.8
GSUAPModel=ViT-Small, Ratio (%)=402026.053615.210.289.4
GSUAPModel=ViT-Tiny, Ratio (%)=802026.0534.811.810.691.8
GSUAPModel=ViT-Tiny, Ratio (%)=1002026.0529.811.210.691.8
GSUAPModel=ViT-Small, Ratio (%)=602026.052711.21089.4
GSUAPModel=ViT-Small, Ratio (%)=802026.0524.810.61089.4
GSUAPModel=ViT-Small, Ratio (%)=1002026.0523.611.61089.4
GSUAPModel=AlexNet, Ratio (%)=202026.0523.512.71190.5
GSUAPModel=AlexNet, Ratio (%)=402026.0520.811.911.590.5
GSUAPModel=DenseNet, Ratio (%)=202026.0514.213.511.395.8
GSUAPModel=AlexNet, Ratio (%)=602026.0512.79.99.890.5
GSUAPModel=AlexNet, Ratio (%)=1002026.0511.49.2990.5
GSUAPModel=AlexNet, Ratio (%)=802026.05119.2990.5
GSUAPModel=DenseNet, Ratio (%)=402026.0510.710.79.695.8
GSUAPModel=DenseNet, Ratio (%)=602026.0510.69.69.395.8
GSUAPModel=DenseNet, Ratio (%)=802026.0510.29.7995.8
GSUAPModel=DenseNet, Ratio (%)=1002026.0510.29.5995.8