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Membership Inference Attack on ImageNet-1k
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0.9745
Precision @ 1% FPR
Quantile Regression Membership Inference Attack
0.456268
0.590809
0.72535
0.859891
Jul 7, 2023
Precision @ 1% FPR
Precision @ 0.1% FPR
Updated 1mo ago
Evaluation Results
Method
Method
Links
Precision @ 1% FPR
Precision @ 0.1% FPR
Quantile Regression Membership Inference Attack
Backbone=ResNet-50
2023.07
0.9745
0.9964
LiRA
Backbone=ResNet-50, n=8
2023.07
0.9457
0.9873
LiRA
Backbone=ResNet-50, n=6
2023.07
0.9374
0.9838
LiRA
Backbone=ResNet-50, n=4
2023.07
0.8911
0.9518
LiRA
Backbone=ResNet-50, n=2
2023.07
0.627
0.5604
Marginal
Backbone=ResNet-50
2023.07
0.4762
0.4681
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