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ResearchFormerly WizWand

Image Classification on OxfordPets 16-shot (Top-1 Clean and Robust Accuracy)

85.04Top-1 Clean AccuracyCLBP
77.718479.619281.5283.4208May 25, 2026
Updated 5mo ago

Evaluation results

MethodLinks
CLBPPerturbation budget (epsilon)=1/255, Attack ensemble=APGD-CE + APGD-DLR2026.0585.0478.6
CLBPPerturbation budget (epsilon)=2/255, Attack ensemble=APGD-CE + APGD-DLR2026.0585.0475.2
CLBPPerturbation budget (epsilon)=4/255, Attack ensemble=APGD-CE + APGD-DLR2026.0585.0468.93
FAPPerturbation budget (epsilon)=1/255, Attack ensemble=APGD-CE + APGD-DLR2026.0580.0230.19
FAPPerturbation budget (epsilon)=2/255, Attack ensemble=APGD-CE + APGD-DLR2026.0580.0222.82
FAPPerturbation budget (epsilon)=4/255, Attack ensemble=APGD-CE + APGD-DLR2026.0580.0212.27
AdvVLPPerturbation budget (epsilon)=1/255, Attack ensemble=APGD-CE + APGD-DLR2026.0579.1826.4
AdvVLPPerturbation budget (epsilon)=2/255, Attack ensemble=APGD-CE + APGD-DLR2026.0579.1819.13
AdvVLPPerturbation budget (epsilon)=4/255, Attack ensemble=APGD-CE + APGD-DLR2026.0579.189.26
AdvVPPerturbation budget (epsilon)=1/255, Attack ensemble=APGD-CE + APGD-DLR2026.057817.32
AdvVPPerturbation budget (epsilon)=2/255, Attack ensemble=APGD-CE + APGD-DLR2026.05783.98
AdvVPPerturbation budget (epsilon)=4/255, Attack ensemble=APGD-CE + APGD-DLR2026.05780.34
AdvMaPLePerturbation budget (epsilon)=1/255, Attack ensemble=APGD-CE + APGD-DLR2026.057826.24
AdvMaPLePerturbation budget (epsilon)=2/255, Attack ensemble=APGD-CE + APGD-DLR2026.057819
AdvMaPLePerturbation budget (epsilon)=4/255, Attack ensemble=APGD-CE + APGD-DLR2026.05789.48