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Benchmarks
Image Classification on CIFAR-10 Raw
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99.68
Accuracy
defensive patch generation framework
72.0784
79.2442
86.41
93.5758
Apr 13, 2022
Accuracy
Updated 3mo ago
Evaluation Results
Method
Method
Links
Accuracy
defensive patch generation framework
Model=MNet, Setting=Fo...
2022.04
99.68
defensive patch generation framework
Model=VGG, Setting=Fou...
2022.04
99.27
defensive patch generation framework
Model=SNet, Setting=Fo...
2022.04
99.02
defensive patch generation framework
Model=RNet, Setting=Fo...
2022.04
98.82
UnAdv
Model=RNet, Setting=Fo...
2022.04
95.51
Vanilla
Model=RNet, Setting=Fo...
2022.04
94.65
Trans
Model=RNet, Setting=Fo...
2022.04
93.69
Vanilla
Model=SNet, Setting=Fo...
2022.04
93.65
Vanilla
Model=VGG, Setting=Fou...
2022.04
92.67
Vanilla
Model=MNet, Setting=Fo...
2022.04
92.33
Trans
Model=MNet, Setting=Fo...
2022.04
91.31
Trans
Model=SNet, Setting=Fo...
2022.04
90.24
Trans
Model=VGG, Setting=Fou...
2022.04
88.84
UnAdv
Model=VGG, Setting=Fou...
2022.04
88.57
UnAdv
Model=SNet, Setting=Fo...
2022.04
82
UnAdv
Model=MNet, Setting=Fo...
2022.04
73.14
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