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Image Classification on CIFAR100 (test) (Adversarial Robustness Metrics)

84.15Natural AccuracyCalFAT
16.96634.40851.8569.292May 30, 2022Nov 15, 2022May 4, 2023Oct 21, 2023Apr 8, 2024Sep 25, 2024Mar 14, 2025

Evaluation results

MethodLinks
CalFATAggregation=FedAvg, Label skewness (beta)=0.12022.0584.1548.3842.0431.6641.6832.57—
MTBackbone=WRN-28-10, Supervision=Semi-supervised2025.0366.7613.06—0.080.090.010.03
StandardBackbone=WRN-28-10, Supervision=Supervised2025.0358.423.39—0.010.0200
FedGAIRATAggregation=FedAvg, Label skewness (beta)=0.12022.0558.4138.336.5231.2431.6319.62—
FedTRADESAggregation=FedAvg, Label skewness (beta)=0.12022.0556.9636.9235.1531.0830.3718.67—
WSCATBackbone=WRN-28-10, Supervision=Semi-supervised2025.0355.1428.41—22.9925.2621.8727.43
FedRBNAggregation=FedAvg, Label skewness (beta)=0.12022.0553.8834.4832.5227.9928.3518.76—
PUATBackbone=WRN-28-10, Supervision=Semi-supervised2025.0350.2123.66—19.1819.4317.4122.4
RSTBackbone=WRN-28-10, Supervision=Semi-supervised2025.0347.5421.59—17.5818.3916.5620.92
RLFATBackbone=WRN-28-10, Supervision=Supervised2025.0341.8415.66—11.8813.3611.0614.83
TRADESBackbone=WRN-28-10, Supervision=Supervised2025.0339.1714.64—1212.7911.3114.54
WSCAT-supBackbone=WRN-28-10, Supervision=Supervised2025.0339.1217.06—13.8615.4313.0816.8
DMATBackbone=WRN-28-10, Supervision=Supervised2025.0337.2510.03—5.478.674.887.94
FedMARTAggregation=FedAvg, Label skewness (beta)=0.12022.0519.8519.9419.7114.6416.414.43—
MixFATAggregation=FedAvg, Label skewness (beta)=0.12022.0519.5719.6119.6614.819.4711.98—
FedPGDAggregation=FedAvg, Label skewness (beta)=0.12022.0519.5519.3319.3713.6418.8811.81—