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Adversarial Robustness Evaluation on Stanford Dogs (Image Classification)

92.02Clean AccuracyRoLI - Adapter
58.708867.356976.00584.6531Mar 20, 2023May 3, 2023Jun 16, 2023Jul 30, 2023Sep 12, 2023Oct 26, 2023Dec 10, 2023

Evaluation results

MethodLinks
RoLI - AdapterBackbone=Swin Transformer, Initialization=Robust Linear Initialization, Finetuning Protocol=Adapter2023.1292.0247.12—
RanLI - LinearBackbone=Swin Transformer, Initialization=Random Initialization, Finetuning Protocol=Linear Probing2023.1291.5545.45—
RoLI - Full-FTBackbone=Swin Transformer, Initialization=Robust Linear Initialization, Finetuning Protocol=Full Finetuning2023.1291.5545.57—
RoLI - BiasBackbone=Swin Transformer, Initialization=Robust Linear Initialization, Finetuning Protocol=Bias-only2023.1291.5247.27—
RoLI - LoRABackbone=Swin Transformer, Initialization=Robust Linear Initialization, Finetuning Protocol=LoRA2023.1291.246.76—
RanLI - AdapterBackbone=Swin Transformer, Initialization=Random Initialization, Finetuning Protocol=Adapter2023.1287.9842.24—
RanLI - BiasBackbone=Swin Transformer, Initialization=Random Initialization, Finetuning Protocol=Bias-only2023.1287.4142.75—
RanLI - VPTBackbone=Swin Transformer, Initialization=Random Initialization, Finetuning Protocol=Visual Prompt Tuning2023.1286.3443.1—
RanLI - LoRABackbone=Swin Transformer, Initialization=Random Initialization, Finetuning Protocol=LoRA2023.1284.6339.24—
TWINS-ATwarmup=true2023.0366.1219.4813.8
RanLI - Full-FTBackbone=Swin Transformer, Initialization=Random Initialization, Finetuning Protocol=Full Finetuning2023.1265.8524.79—
TWINS-ATwarmup=false2023.0364.9820.5814.37
TWINS-ATBackbone=ResNet-502023.1264.9820.58—
TWINS-TRADESwarmup=true2023.0363.9619.4610.94
AutoLoRaBackbone=ResNet-502023.1262.3325.32—
TWINS-TRADESwarmup=false2023.0360.5819.9313.36
AT2023.0360.0919.812.3
TRADES2023.0359.9921.3612.05