Black-box Attack on GenImage
99.9ASRFBA2D
Evaluation results
| Method | Links | |
|---|---|---|
| FBA2DTarget Model=DenseNet, RMSE=0.12025.12 | 99.9 | |
| FBA2DModel=PatchCraft, RMSE=0.12025.12 | 99.5 | |
| HSJAModel=Swin Transformer, RMSE=0.12025.12 | 99.2 | |
| FBA2DModel=AIDE, RMSE=0.12025.12 | 99.1 | |
| FBA2DModel=Effort, RMSE=0.12025.12 | 98.9 | |
| HSJAModel=Effort, RMSE=0.12025.12 | 98.8 | |
| FBA2DModel=Swin Transformer, RMSE=0.12025.12 | 98.7 | |
| HSJAModel=AIDE, RMSE=0.12025.12 | 98.5 | |
| FBA2DModel=Swin Transformer, RMSE=0.052025.12 | 98.1 | |
| FBA2DModel=Effort, RMSE=0.052025.12 | 97.9 | |
| HSJAModel=PatchCraft, RMSE=0.12025.12 | 97.8 | |
| FBA2DModel=AIDE, RMSE=0.052025.12 | 97.7 | |
| FBA2DModel=PatchCraft, RMSE=0.052025.12 | 97.4 | |
| FBA2DTarget Model=MobileNet, RMSE=0.12025.12 | 96.2 | |
| FBA2DTarget Model=DenseNet, RMSE=0.052025.12 | 95.4 | |
| TATarget Model=ViT, RMSE=0.12025.12 | 93.3 | |
| FBA2DTarget Model=EfficientNet, RMSE=0.12025.12 | 92.3 | |
| FBA2DTarget Model=CNNSpot, RMSE=0.12025.12 | 90.8 | |
| FBA2DTarget Model=ViT, RMSE=0.12025.12 | 90.5 | |
| TATarget Model=CNNSpot, RMSE=0.12025.12 | 90.2 | |
| FBA2DModel=Swin Transformer, RMSE=0.012025.12 | 89.1 | |
| FBA2DModel=Effort, RMSE=0.012025.12 | 88.5 | |
| FBA2DTarget Model=MobileNet, RMSE=0.052025.12 | 88.2 | |
| FBA2DModel=AIDE, RMSE=0.012025.12 | 87.9 | |
| FBA2DModel=PatchCraft, RMSE=0.012025.12 | 86.8 | |
| TATarget Model=DenseNet, RMSE=0.12025.12 | 85.8 | |
| FBA2DTarget Model=EfficientNet, RMSE=0.052025.12 | 84.7 | |
| HSJAModel=Swin Transformer, RMSE=0.052025.12 | 83.9 | |
| HSJAModel=Effort, RMSE=0.052025.12 | 83.5 | |
| HSJAModel=AIDE, RMSE=0.052025.12 | 83.2 | |
| TATarget Model=MobileNet, RMSE=0.12025.12 | 82.6 | |
| HSJAModel=PatchCraft, RMSE=0.052025.12 | 82.5 | |
| TATarget Model=EfficientNet, RMSE=0.12025.12 | 82.2 | |
| GeoDATarget Model=MobileNet, RMSE=0.12025.12 | 80.3 | |
| GeoDAModel=Swin Transformer, RMSE=0.12025.12 | 80.1 | |
| GeoDAModel=Effort, RMSE=0.12025.12 | 79.7 | |
| ADBATarget Model=MobileNet, RMSE=0.12025.12 | 79.5 | |
| GeoDAModel=AIDE, RMSE=0.12025.12 | 79.4 | |
| GeoDAModel=PatchCraft, RMSE=0.12025.12 | 78.8 | |
| GeoDAModel=Swin Transformer, RMSE=0.052025.12 | 78.4 | |
| GeoDAModel=Effort, RMSE=0.052025.12 | 78 | |
| GeoDAModel=AIDE, RMSE=0.052025.12 | 77.7 | |
| GeoDAModel=PatchCraft, RMSE=0.052025.12 | 77.1 | |
| TATarget Model=ViT, RMSE=0.052025.12 | 76.1 | |
| FBA2DTarget Model=ViT, RMSE=0.052025.12 | 74 | |
| TATarget Model=DenseNet, RMSE=0.052025.12 | 72.3 | |
| GeoDATarget Model=MobileNet, RMSE=0.052025.12 | 71.5 | |
| ADBATarget Model=CNNSpot, RMSE=0.12025.12 | 69.8 | |
| FBA2DTarget Model=CNNSpot, RMSE=0.052025.12 | 69.5 | |
| TATarget Model=CNNSpot, RMSE=0.052025.12 | 69.2 | |
| FBA2DTarget Model=DenseNet, RMSE=0.012025.12 | 67.4 | |
| GeoDATarget Model=EfficientNet, RMSE=0.12025.12 | 66.8 | |
| GeoDATarget Model=CNNSpot, RMSE=0.12025.12 | 65.8 | |
| TATarget Model=MobileNet, RMSE=0.052025.12 | 65 | |
| ADBAModel=Swin Transformer, RMSE=0.12025.12 | 64.9 | |
| ADBAModel=Effort, RMSE=0.12025.12 | 64.5 | |
| ADBATarget Model=MobileNet, RMSE=0.052025.12 | 64.3 | |
| ADBAModel=AIDE, RMSE=0.12025.12 | 64.2 | |
| ADBAModel=PatchCraft, RMSE=0.12025.12 | 63.6 | |
| ADBATarget Model=EfficientNet, RMSE=0.12025.12 | 61.7 | |
| HSJATarget Model=EfficientNet, RMSE=0.12025.12 | 60.5 | |
| TATarget Model=EfficientNet, RMSE=0.052025.12 | 56.7 | |
| FBA2DTarget Model=MobileNet, RMSE=0.012025.12 | 56.6 | |
| GeoDATarget Model=DenseNet, RMSE=0.12025.12 | 55.5 | |
| TAModel=Swin Transformer, RMSE=0.12025.12 | 54.7 | |
| TAModel=Effort, RMSE=0.12025.12 | 54.3 | |
| TAModel=AIDE, RMSE=0.12025.12 | 54 | |
| GeoDATarget Model=EfficientNet, RMSE=0.052025.12 | 53.6 | |
| TAModel=PatchCraft, RMSE=0.12025.12 | 53.4 | |
| HSJATarget Model=MobileNet, RMSE=0.12025.12 | 53.2 | |
| GeoDATarget Model=ViT, RMSE=0.12025.12 | 52.7 | |
| HSJATarget Model=CNNSpot, RMSE=0.12025.12 | 52 | |
| ADBAModel=Swin Transformer, RMSE=0.052025.12 | 50.7 | |
| ADBATarget Model=CNNSpot, RMSE=0.052025.12 | 50.4 | |
| ADBAModel=Effort, RMSE=0.052025.12 | 50.3 | |
| ADBAModel=AIDE, RMSE=0.052025.12 | 50 | |
| ADBAModel=PatchCraft, RMSE=0.052025.12 | 49.4 | |
| HSJATarget Model=EfficientNet, RMSE=0.052025.12 | 49 | |
| ADBATarget Model=ViT, RMSE=0.12025.12 | 49 | |
| HSJATarget Model=DenseNet, RMSE=0.12025.12 | 48.8 | |
| GeoDATarget Model=ViT, RMSE=0.052025.12 | 48.8 | |
| ADBATarget Model=EfficientNet, RMSE=0.052025.12 | 48.8 | |
| GeoDATarget Model=CNNSpot, RMSE=0.052025.12 | 47.9 | |
| ADBATarget Model=ViT, RMSE=0.052025.12 | 47.3 | |
| TAModel=Swin Transformer, RMSE=0.052025.12 | 44.3 | |
| TAModel=Effort, RMSE=0.052025.12 | 43.9 | |
| TAModel=AIDE, RMSE=0.052025.12 | 43.6 | |
| TAModel=PatchCraft, RMSE=0.052025.12 | 43 | |
| HSJATarget Model=ViT, RMSE=0.12025.12 | 42.9 | |
| ADBATarget Model=DenseNet, RMSE=0.12025.12 | 42.7 | |
| HSJATarget Model=CNNSpot, RMSE=0.052025.12 | 41 | |
| Sign-OPTTarget Model=EfficientNet, RMSE=0.12025.12 | 39.5 | |
| GeoDATarget Model=DenseNet, RMSE=0.052025.12 | 37.7 | |
| GeoDATarget Model=MobileNet, RMSE=0.012025.12 | 37 | |
| FBA2DTarget Model=EfficientNet, RMSE=0.012025.12 | 36.8 | |
| TATarget Model=ViT, RMSE=0.012025.12 | 36.7 | |
| Sign-OPTModel=Swin Transformer, RMSE=0.12025.12 | 35.5 | |
| Sign-OPTModel=Effort, RMSE=0.12025.12 | 35.1 | |
| Sign-OPTModel=AIDE, RMSE=0.12025.12 | 34.8 | |
| GeoDAModel=Swin Transformer, RMSE=0.012025.12 | 34.3 |