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ResearchFormerly WizWand

Image Classification on EuroSAT (Adversarial Robustness Metrics)

26.1Robust AccuracyCSR
-1.0446.00313.0520.097Jan 27, 2026Feb 9, 2026Feb 23, 2026Mar 9, 2026Mar 23, 2026Apr 6, 2026Apr 20, 2026
Updated 6mo ago

Evaluation results

MethodLinks
CSRBackbone=CLIP-B/32, Category=Test-Time Defense2026.0126.134.2——
R-TPTBackbone=CLIP-B/32, Category=Test-Time Defense2026.0121.427.7——
Ours (5 trees)Zero-shot=true, Adversarial fine-tuning=ImageNet, PGD attack steps=20, Perturbation radius (epsilon)=1/255, Number of trees=52026.0418.89———
OursZero-shot=true, Adversarial fine-tuning=ImageNet, PGD attack steps=20, Perturbation radius (epsilon)=1/2552026.0417.49———
FAREBackbone=CLIP-B/32, Category=Adversarial Fine-tuning2026.0117.417.4——
AoSZero-shot=true, Adversarial fine-tuning=ImageNet, PGD attack steps=20, Perturbation radius (epsilon)=1/2552026.0417.32———
TeCoAZero-shot=true, Adversarial fine-tuning=ImageNet, PGD attack steps=20, Perturbation radius (epsilon)=1/2552026.0416.58———
PMG-FTZero-shot=true, Adversarial fine-tuning=ImageNet, PGD attack steps=20, Perturbation radius (epsilon)=1/2552026.0414.94———
TeCoABackbone=CLIP-B/32, Category=Adversarial Fine-tuning2026.0114.414.4——
TTCBackbone=CLIP-B/32, Category=Test-Time Defense2026.0113.933.6——
Anti-AdvBackbone=CLIP-B/32, Category=Test-Time Defense2026.0113.728.7——
TTEBackbone=CLIP-B/32, Category=Test-Time Defense2026.0110.228.8——
FAREZero-shot=true, Adversarial fine-tuning=ImageNet, PGD attack steps=20, Perturbation radius (epsilon)=1/2552026.0410.15———
HDBackbone=CLIP-B/32, Category=Test-Time Defense2026.012.135.3——
LPFBackbone=CLIP-B/32, Category=Test-Time Defense2026.011.529.5——
CLIPZero-shot=true, Adversarial fine-tuning=ImageNet, PGD attack steps=20, Perturbation radius (epsilon)=1/2552026.040.05———
CLIPBackbone=CLIP-B/32, Category=Original2026.01034.2——
CLIPTraining Data=ImageNet-1k, Adversarial Training=2-step PGD, Epsilon=1/2552025.12—42.660.040.17
FARETraining Data=ImageNet-1k, Adversarial Training=2-step PGD, Epsilon=1/2552025.12—24.7414.1212.95
TeCoATraining Data=ImageNet-1k, Adversarial Training=2-step PGD, Epsilon=1/2552025.12—27.5715.1813.26
UCATTraining Data=ImageNet-1k, Adversarial Training=2-step PGD, Epsilon=1/2552025.12—23.0212.6510.76