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Image Classification on CIFAR-10 (IID) (Backdoor Attack Evaluation)

0.9524Average BANo Defense
-0.0380960.2190520.47620.733348Mar 11, 2025Mar 21, 2025Apr 1, 2025Apr 12, 2025Apr 23, 2025May 4, 2025May 15, 2025

Evaluation results

MethodLinks
No DefenseAttack scenario=Neurotoxin, Backbone=ResNet-182025.050.95240.8682——————————————
No DefenseAttack scenario=BadNet, Backbone=ResNet-182025.050.94350.8823——————————————
No DefenseAttack scenario=IBA, Backbone=ResNet-182025.050.93810.8758——————————————
No DefenseAttack scenario=Average across attacks, Backbone=ResNet-182025.050.9278——————————————0.8779
No DefenseAttack scenario=Blended, Backbone=ResNet-182025.050.92180.8792——————————————
No DefenseAttack scenario=Chameleon, Backbone=ResNet-182025.050.91670.8736——————————————
No DefenseAttack scenario=Edge-case, Backbone=ResNet-182025.050.89760.8814——————————————
Multi-KrumAttack scenario=BadNet, Backbone=ResNet-182025.050.88420.7634——————————————
Multi-KrumAttack scenario=Average across attacks, Backbone=ResNet-182025.050.8693——————————————0.7669
FoolsGoldAttack scenario=BadNet, Backbone=ResNet-182025.050.76380.8216——————————————
FoolsGoldAttack scenario=Average across attacks, Backbone=ResNet-182025.050.7603——————————————0.8111
RFAModel=ResNet92025.030.75490.87730.70670.90240.27740.09260.47670.66970.47290.30140.81270.96130.17110.03690.2254—
FedAvgModel=ResNet92025.030.61680.89470.51560.67610.45790.31240.56210.70420.40620.27920.44890.7940.50410.1960.3593—
MMModel=ResNet92025.030.61080.89150.41190.93880.53880.06010.52240.5130.43540.45080.43920.83920.51120.15110.3579—
MKrumModel=ResNet92025.030.56590.87020.8110.97470.18110.02510.02170.04330.83890.7910.65280.89180.31810.10010.3757—
DeepSightAttack scenario=Average across attacks, Backbone=ResNet-182025.050.4864——————————————0.8105
DeepSightAttack scenario=BadNet, Backbone=ResNet-182025.050.45260.8175——————————————
FoolsgoldModel=ResNet92025.030.4260.89490.69140.68840.29640.3010.51180.60730.44830.36080.02910.02820.85270.84760.5178—
FLAMEAttack scenario=Average across attacks, Backbone=ResNet-182025.050.1507——————————————0.8442
FLAMEAttack scenario=BadNet, Backbone=ResNet-182025.050.12470.8526——————————————
FLTrustAttack scenario=Average across attacks, Backbone=ResNet-182025.050.1102——————————————0.8573
FLTrustAttack scenario=BadNet, Backbone=ResNet-182025.050.08260.8674——————————————
LockdownModel=ResNet92025.030.06910.88560.06310.10820.81880.7950.11630.06030.78820.75770.0340.03270.82730.83140.8031—
FeRAAttack scenario=IBA, Backbone=ResNet-182025.050.05080.8695——————————————
RLRAttack scenario=Average across attacks, Backbone=ResNet-182025.050.0346——————————————0.7668
FeRAAttack scenario=Blended, Backbone=ResNet-182025.050.03350.8724——————————————
RLRModel=ResNet92025.030.02890.79160.02320.020.76720.73330.03010.03040.77090.77130.03120.03870.73980.73290.7532—
AlignInsModel=ResNet92025.030.02210.88640.01910.02210.86030.85570.02130.02140.85770.85880.02660.0220.85460.85310.8567—
RLRAttack scenario=BadNet, Backbone=ResNet-182025.050.02180.7624——————————————
FeRAAttack scenario=Average across attacks, Backbone=ResNet-182025.050.0217——————————————0.8742
FedAvg*Model=ResNet92025.030.02060.89470.02060.02060.8560.8560.02060.02060.8560.8560.02060.02060.8560.8560.856—
FeRAAttack scenario=Chameleon, Backbone=ResNet-182025.050.01470.8785——————————————
FeRAAttack scenario=BadNet, Backbone=ResNet-182025.050.01260.8793——————————————
FeRAAttack scenario=Edge-case, Backbone=ResNet-182025.050.00940.8763——————————————
FeRAAttack scenario=Neurotoxin, Backbone=ResNet-182025.050.00930.8654——————————————
No DefenseAttack scenario=No Attack, Backbone=ResNet-182025.0500.8871——————————————
FeRAAttack scenario=No Attack, Backbone=ResNet-182025.0500.8842——————————————