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ResearchFormerly WizWand

Black-box Attack on LSUN

99.9ASRFBA2D
47.69261.24674.888.354Dec 10, 2025
Updated 8mo ago

Evaluation results

MethodLinks
FBA2DTarget Model=ViT, RMSE=0.12025.1299.9
FBA2DTarget Model=ViT, RMSE=0.052025.1299.6
TATarget Model=ViT, RMSE=0.12025.1299
FBA2DTarget Model=MobileNet, RMSE=0.12025.1298.6
TATarget Model=ViT, RMSE=0.052025.1298.5
FBA2DTarget Model=CNNSpot, RMSE=0.12025.1297.9
FBA2DTarget Model=CNNSpot, RMSE=0.052025.1297.3
FBA2DTarget Model=MobileNet, RMSE=0.052025.1297.2
FBA2DTarget Model=DenseNet, RMSE=0.12025.1295.9
HSJATarget Model=ViT, RMSE=0.12025.1295.8
FBA2DTarget Model=DenseNet, RMSE=0.052025.1295.4
TATarget Model=MobileNet, RMSE=0.12025.1293.1
FBA2DTarget Model=CNNSpot, RMSE=0.012025.1290.9
FBA2DModel=Swin Transformer, RMSE=0.12025.1290
FBA2DModel=Effort, RMSE=0.12025.1289.5
FBA2DModel=AIDE, RMSE=0.12025.1289.2
FBA2DModel=Swin Transformer, RMSE=0.052025.1289
TATarget Model=MobileNet, RMSE=0.052025.1288.9
FBA2DModel=PatchCraft, RMSE=0.12025.1288.5
FBA2DModel=Effort, RMSE=0.052025.1288.5
FBA2DModel=AIDE, RMSE=0.052025.1288.2
FBA2DModel=PatchCraft, RMSE=0.052025.1287.5
FBA2DTarget Model=DenseNet, RMSE=0.012025.1287.4
OPTTarget Model=MobileNet, RMSE=0.12025.1283.6
TAModel=Swin Transformer, RMSE=0.12025.1283.4
TAModel=Effort, RMSE=0.12025.1283
TAModel=AIDE, RMSE=0.12025.1282.7
TAModel=PatchCraft, RMSE=0.12025.1282.1
OPTModel=Swin Transformer, RMSE=0.12025.1281.7
HSJATarget Model=CNNSpot, RMSE=0.12025.1280.9
OPTModel=AIDE, RMSE=0.12025.1280.5
FBA2DTarget Model=MobileNet, RMSE=0.012025.1279.6
OPTModel=PatchCraft, RMSE=0.12025.1279.2
OPTModel=Effort, RMSE=0.12025.1278.8
TAModel=Swin Transformer, RMSE=0.052025.1277.8
FBA2DTarget Model=ViT, RMSE=0.012025.1277.7
TAModel=Effort, RMSE=0.052025.1277.4
TAModel=AIDE, RMSE=0.052025.1277.1
FBA2DTarget Model=EfficientNet, RMSE=0.12025.1277
OPTTarget Model=CNNSpot, RMSE=0.12025.1276.8
TATarget Model=CNNSpot, RMSE=0.12025.1276.6
TAModel=PatchCraft, RMSE=0.052025.1276.5
FBA2DModel=Swin Transformer, RMSE=0.012025.1275.5
FBA2DModel=Effort, RMSE=0.012025.1275.1
FBA2DModel=AIDE, RMSE=0.012025.1274.8
OPTTarget Model=ViT, RMSE=0.12025.1274.8
FBA2DModel=PatchCraft, RMSE=0.012025.1274.2
TATarget Model=ViT, RMSE=0.012025.1273.1
FBA2DTarget Model=EfficientNet, RMSE=0.052025.1271.8
OPTTarget Model=EfficientNet, RMSE=0.12025.1270.3
HSJAModel=PatchCraft, RMSE=0.12025.1269.2
HSJAModel=Effort, RMSE=0.12025.1268.8
HSJAModel=AIDE, RMSE=0.12025.1268.4
HSJAModel=Swin Transformer, RMSE=0.12025.1267.6
TATarget Model=CNNSpot, RMSE=0.052025.1267.3
OPTTarget Model=DenseNet, RMSE=0.12025.1266.6
HSJATarget Model=ViT, RMSE=0.052025.1266
TATarget Model=EfficientNet, RMSE=0.12025.1265.6
GeoDATarget Model=EfficientNet, RMSE=0.12025.1264.7
HSJAModel=Swin Transformer, RMSE=0.052025.1262.4
HSJAModel=AIDE, RMSE=0.052025.1261.6
HSJAModel=Effort, RMSE=0.052025.1261.2
HSJAModel=PatchCraft, RMSE=0.052025.1260.8
OPTTarget Model=MobileNet, RMSE=0.052025.1258.7
GeoDATarget Model=ViT, RMSE=0.12025.1258.1
GeoDATarget Model=ViT, RMSE=0.052025.1258.1
TATarget Model=DenseNet, RMSE=0.12025.1255.8
TATarget Model=EfficientNet, RMSE=0.052025.1255.8
GeoDATarget Model=EfficientNet, RMSE=0.052025.1255.2
TATarget Model=DenseNet, RMSE=0.052025.1255.1
GeoDATarget Model=MobileNet, RMSE=0.12025.1254.7
GeoDATarget Model=MobileNet, RMSE=0.052025.1254.7
HSJATarget Model=MobileNet, RMSE=0.12025.1254.1
OPTModel=Swin Transformer, RMSE=0.052025.1253.5
HSJATarget Model=EfficientNet, RMSE=0.12025.1252.7
OPTModel=AIDE, RMSE=0.052025.1252.6
OPTTarget Model=EfficientNet, RMSE=0.052025.1252.5
GeoDAModel=Swin Transformer, RMSE=0.12025.1252.2
GeoDAModel=Swin Transformer, RMSE=0.052025.1252.2
OPTTarget Model=CNNSpot, RMSE=0.052025.1252.2
GeoDATarget Model=CNNSpot, RMSE=0.12025.1252.1
GeoDATarget Model=CNNSpot, RMSE=0.052025.1252.1
GeoDAModel=Effort, RMSE=0.12025.1252
GeoDAModel=Effort, RMSE=0.052025.1252
OPTModel=PatchCraft, RMSE=0.052025.1251.8
GeoDAModel=AIDE, RMSE=0.12025.1251.8
GeoDAModel=AIDE, RMSE=0.052025.1251.8
GeoDATarget Model=DenseNet, RMSE=0.12025.1251.7
GeoDATarget Model=DenseNet, RMSE=0.052025.1251.7
GeoDAModel=PatchCraft, RMSE=0.12025.1251.5
GeoDAModel=PatchCraft, RMSE=0.052025.1251.5
OPTModel=Effort, RMSE=0.052025.1251.2
HSJATarget Model=CNNSpot, RMSE=0.052025.1250.9
OPTTarget Model=DenseNet, RMSE=0.052025.1250.3
ADBATarget Model=ViT, RMSE=0.12025.1250.2
GeoDAModel=Swin Transformer, RMSE=0.012025.1250
GeoDAModel=Effort, RMSE=0.012025.1249.8
ADBATarget Model=CNNSpot, RMSE=0.12025.1249.8
ADBATarget Model=DenseNet, RMSE=0.12025.1249.8
HSJATarget Model=DenseNet, RMSE=0.12025.1249.7