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Model Inversion Attack on FaceScrub (private) + FFHQ (public) 64x64 (test)
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91.16
Attack Accuracy
NoDef
79.3976
82.4513
85.505
88.5587
Sep 2, 2024
Attack Accuracy
Attack Accuracy (Mean)
Accuracy Delta (∆)
KNN Distance
Updated 1d ago
Evaluation Results
Method
Method
Links
Attack Accuracy
Attack Accuracy (Mean)
Accuracy Delta (∆)
KNN Distance
NoDef
Architecture=IR152, Re...
2024.09
91.16
96.6
-
1,187.37
NoDef
Architecture=FaceNet64...
2024.09
88.5
95
-
1,250.9
NoDef
Architecture=VGG16, Re...
2024.09
86.9
81.8
-
1,323.27
MIDRE
Architecture=IR152, Re...
2024.09
84.91
54.02
6.81
1,579.28
MIDRE
Architecture=FaceNet64...
2024.09
81.56
51.6
6.25
1,501.85
BiDO
Architecture=VGG16, Re...
2024.09
79.85
60.93
2.96
1,440.16
MIDRE
Architecture=VGG16, Re...
2024.09
79.85
36.07
6.49
1,654.41
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