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Img/ClsDSA [7]DM[8]KIP [23]MTT [20]FRePo
MNIST188.7±0.689.9 ± 0.8†90.1± 0.191.4 ± 0.9†93.0 ± 0.4 (92.6 ± 0.4)
1097.9 ±0.1†97.6 ± 0.1†97.5 ± 0.097.3 ± 0.1+98.6 ± 0.1 (98.6 ± 0.1)
5099.2 ± 0.198.6 ± 0.198.3 ± 0.198.5±0.1+99.2 ± 0.0 (99.2± 0.1)
F-MNIST170.6 ± 0.671.5 ± 0.5†73.5± 0.575.1 ± 0.9†75.6 ± 0.3 (77.1 ± 0.2)
1084.8±0.3t83.6±0.2t86.8±0.187.2± 0.3+86.2 ± 0.2 (86.8 ± 0.1)
5088.8±0.2t88.2±0.1†88.0±0.188.3± 0.1+89.6 ± 0.1 (89.9 ± 0.1)
CIFAR10136.7± 0.8†31.0 ± 0.6†49.9 ± 0.246.3 ± 0.846.8 ± 0.7 (47.9 ± 0.6)
1053.2 ± 0.8†49.2 ± 0.8†62.7± 0.365.3 ± 0.765.5 ± 0.4 (68.0 ± 0.2)
5066.8± 0.4†63.7±0.5t68.6± 0.271.6 ± 0.271.7 ± 0.2 (74.4 ± 0.1)
CIFAR100116.8± 0.2†12.2 ± 0.4†15.7 ± 0.224.3 ± 0.328.7 ± 0.1 (32.3 ± 0.1)
1032.3 ±0.329.7 ±0.328.3 ± 0.140.1 ± 0.442.5 ± 0.2 (44.9 ± 0.2)
5042.8± 0.443.6 ± 0.4147.7 ± 0.244.3 ± 0.2 (43.0 ± 0.3)
T-ImageNet16.6± 0.2t3.9± 0.28.8 ±0.315.4 ± 0.3 (19.1 ± 0.3)
10一12.9 ± 0.423.2 ± 0.225.4 ± 0.2 (26.5± 0.1)
CUB-20011.3 ± 0.1†1.6 ± 0.1†2.2± 0.1†12.4 ± 0.2 (13.7 ± 0.2)
104.5 ± 0.3†4.4 ± 0.2†116.8 ± 0.1 (16.1 ± 0.3)
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Train ArchEvaluation Architecture
ConvConv-NNResNet-DNResNet-BNVGG-BNAlexNet
DSA [7]Conv-IN53.2 ± 0.836.4 ± 1.542.1 ± 0.734.1 ± 1.446.3 ± 1.334.0 ± 2.3
DM[8]Conv-IN49.2 ± 0.835.2 ± 0.536.8 ± 1.235.5 ± 1.341.2 ± 1.834.9 ± 1.1
MTT[20]Conv-IN64.4 ± 0.941.6 ± 1.349.2 ± 1.142.9 ± 1.546.6 ± 2.034.2 ± 2.6
KIP [23]Conv-NTK62.7 ± 0.358.2 ±0.449.0 ± 1.245.8 ± 1.430.1 ± 1.557.2 ± 0.4
FRePoConv-BN65.5 ± 0.465.5 ± 0.458.1 ± 0.657.7 ± 0.759.4 ± 0.761.9 ± 0.7
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ImageNette (128x128)ImageWoof (128x128)ImageNet (64x64)
Img/Cls11011012
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FRePo48.1 ± 0.766.5 ± 0.829.7 ± 0.642.2 ± 0.97.5 ± 0.39.7 ± 0.2
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Test Acc (%)Attack AUC
ThresholdLRMLPRFKNN
Real99.2 ± 0.10.99 ± 0.010.99 ± 0.001.00 ±0.001.00 ± 0.000.97 ±0.00
Subset96.8± 0.20.52 ±0.000.50 ± 0.010.53 ± 0.010.55 ± 0.000.54 ±0.00
DSA98.5 ± 0.10.50 ± 0.000.51 ± 0.000.54 ± 0.000.54 ± 0.010.54 ± 0.01
DM98.3 ± 0.00.50 ± 0.000.51 ± 0.010.54 ± 0.010.54 ± 0.010.53 ± 0.01
FRePo98.5± 0.10.52 ±0.000.51 ± 0.000.53 ± 0.010.52 ± 0.010.51 ± 0.01
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