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Benchmarks
Image Classification on CIFAR-10 (Badnet Attack, test)
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94.63
Accuracy
Before
85.1764
87.6307
90.085
92.5393
Feb 13, 2022
Accuracy
Robust Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
Robust Accuracy
Before
defense=None
2022.02
94.63
94.41
Neural Cleanse
defense=Neural Cleanse
2022.02
94.63
94.41
PBE
clean_data_available=true
2022.02
93.84
0.62
PBE
clean_data_available=f...
2022.02
93.62
0.68
ANP
defense=Adversarial Ne...
2022.02
92.01
0.69
NAD
defense=Neural Attenti...
2022.02
89.63
1.01
Fine-pruning
defense=Fine-pruning
2022.02
88.2
66.13
Fine-tuning
defense=Fine-tuning
2022.02
85.54
3.68
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