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ResearchFormerly WizWand

Backdoor Defense on CIFAR10 (train)

0.31ASRANP
-3.677623.238750.15577.0713Nov 22, 2022
Updated 8mo ago

Evaluation results

MethodLinks
ANPBackdoor Attack=WaNet, Data Type=In-distribution Labeled2022.110.3190.61
ANPBackdoor Attack=SIG, Data Type=In-distribution Labeled2022.110.4192.09
ANPBackdoor Attack=IAB, Data Type=In-distribution Labeled2022.110.685.37
ANPBackdoor Attack=Blended, Data Type=In-distribution Labeled2022.110.8792.85
BCUBackdoor Attack=SIG, Data Type=In-distribution Unlabeled, Unlabeled Samples=25002022.110.9192.58
FinetuningBackdoor Attack=WaNet, Data Type=In-distribution Labeled2022.110.9892.34
NADBackdoor Attack=WaNet, Data Type=In-distribution Labeled2022.111.0392.22
MCRBackdoor Attack=WaNet, Data Type=In-distribution Labeled, t=0.32022.111.1491.08
BCUBackdoor Attack=SIG, Data Type=In-distribution Unlabeled, Unlabeled Samples=50002022.111.1893.14
MCRBackdoor Attack=IAB, Data Type=In-distribution Labeled, t=0.32022.111.3585.29
BCUBackdoor Attack=LC, Data Type=In-distribution Unlabeled, Unlabeled Samples=50002022.111.493.66
ANPBackdoor Attack=Mean, Data Type=In-distribution Labeled2022.111.5690.14
MCRBackdoor Attack=Badnets, Data Type=In-distribution Labeled, t=0.32022.111.6886.41
I-BAUBackdoor Attack=WaNet, Data Type=In-distribution Labeled2022.111.7391.62
BCUBackdoor Attack=LC, Data Type=In-distribution Unlabeled, Unlabeled Samples=25002022.111.8193.17
NADBackdoor Attack=SIG, Data Type=In-distribution Labeled2022.111.8892.95
BCUBackdoor Attack=IAB, Data Type=In-distribution Unlabeled, Unlabeled Samples=50002022.111.986.85
BCUBackdoor Attack=IAB, Data Type=In-distribution Unlabeled, Unlabeled Samples=25002022.111.9686.42
NADBackdoor Attack=IAB, Data Type=In-distribution Labeled2022.112.1786.76
MCRBackdoor Attack=SIG, Data Type=In-distribution Labeled, t=0.32022.112.3387.69
Fine-pruningBackdoor Attack=IAB, Data Type=In-distribution Labeled2022.112.4586.89
ANPBackdoor Attack=Badnets, Data Type=In-distribution Labeled2022.112.5688.58
BCUBackdoor Attack=Badnets, Data Type=In-distribution Unlabeled, Unlabeled Samples=25002022.11392.15
BCUBackdoor Attack=Badnets, Data Type=In-distribution Unlabeled, Unlabeled Samples=50002022.11392.75
MCRBackdoor Attack=Mean, Data Type=In-distribution Labeled, t=0.32022.113.0487.69
BCUBackdoor Attack=Mean, Data Type=In-distribution Unlabeled, Unlabeled Samples=25002022.113.7491.59
ANPBackdoor Attack=LC, Data Type=In-distribution Labeled2022.114.6291.3
NADBackdoor Attack=Badnets, Data Type=In-distribution Labeled2022.114.6792.35
BCUBackdoor Attack=Mean, Data Type=In-distribution Unlabeled, Unlabeled Samples=50002022.114.8792.11
BCUBackdoor Attack=Blended, Data Type=In-distribution Unlabeled, Unlabeled Samples=25002022.114.993.16
NADBackdoor Attack=Blended, Data Type=In-distribution Labeled2022.115.0693.24
BCUBackdoor Attack=Blended, Data Type=In-distribution Unlabeled, Unlabeled Samples=50002022.115.193.65
FinetuningBackdoor Attack=Blended, Data Type=In-distribution Labeled2022.115.293.44
MCRBackdoor Attack=LC, Data Type=In-distribution Labeled, t=0.32022.115.3388.18
FinetuningBackdoor Attack=SIG, Data Type=In-distribution Labeled2022.115.4193.16
Fine-pruningBackdoor Attack=SIG, Data Type=In-distribution Labeled2022.115.6693.55
I-BAUBackdoor Attack=Blended, Data Type=In-distribution Labeled2022.116.1992.71
MCRBackdoor Attack=Blended, Data Type=In-distribution Labeled, t=0.32022.116.3987.51
I-BAUBackdoor Attack=IAB, Data Type=In-distribution Labeled2022.117.5785.64
FinetuningBackdoor Attack=IAB, Data Type=In-distribution Labeled2022.119.4686.91
FinetuningBackdoor Attack=Badnets, Data Type=In-distribution Labeled2022.119.792.55
BCUBackdoor Attack=WaNet, Data Type=In-distribution Unlabeled, Unlabeled Samples=25002022.119.8692.05
I-BAUBackdoor Attack=Badnets, Data Type=In-distribution Labeled2022.1110.1691.98
I-BAUBackdoor Attack=Mean, Data Type=In-distribution Labeled2022.1110.4791.19
NADBackdoor Attack=Mean, Data Type=In-distribution Labeled2022.1111.2691.82
Fine-pruningBackdoor Attack=WaNet, Data Type=In-distribution Labeled2022.1113.9992.92
I-BAUBackdoor Attack=SIG, Data Type=In-distribution Labeled2022.1115.7692.45
BCUBackdoor Attack=WaNet, Data Type=In-distribution Unlabeled, Unlabeled Samples=50002022.1116.6792.64
Fine-pruningBackdoor Attack=Blended, Data Type=In-distribution Labeled2022.1120.6293.7
FinetuningBackdoor Attack=Mean, Data Type=In-distribution Labeled2022.1121.3191.98
I-BAUBackdoor Attack=LC, Data Type=In-distribution Labeled2022.1121.4192.72
Fine-pruningBackdoor Attack=Mean, Data Type=In-distribution Labeled2022.1122.5592.25
Fine-pruningBackdoor Attack=Badnets, Data Type=In-distribution Labeled2022.1132.3692.57
NADBackdoor Attack=LC, Data Type=In-distribution Labeled2022.1152.7493.38
Fine-pruningBackdoor Attack=LC, Data Type=In-distribution Labeled2022.1160.2393.88
Original (No Defense)Backdoor Attack=IAB2022.1191.3587.46
Original (No Defense)Backdoor Attack=SIG2022.1195.0993.71
FinetuningBackdoor Attack=LC, Data Type=In-distribution Labeled2022.1197.1493.49
Original (No Defense)Backdoor Attack=WaNet2022.1197.1593.53
Original (No Defense)Backdoor Attack=Mean2022.1197.1892.74
Original (No Defense)Backdoor Attack=LC2022.1199.5594.51
Original (No Defense)Backdoor Attack=Badnets2022.1199.9392.76
Original (No Defense)Backdoor Attack=Blended2022.1110094.48