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Image Classification on CIFAR-10 (retention set (Dr))
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99.6
Accuracy
BEFORE
12.4376
35.0663
57.695
80.3237
Mar 13, 2026
Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
BEFORE
k=16, Backbone=ResNet-18
2026.03
99.6
ORACLE
k=16, Backbone=ResNet-18
2026.03
98.74
STRUCTGUARD
k=16, Backbone=ResNet-18
2026.03
91.43
L2UL
k=16, Backbone=ResNet-18
2026.03
85.75
ADV
k=16, Backbone=ResNet-18
2026.03
69.7
RAWP
k=16, Backbone=ResNet-18
2026.03
67.15
FISHER
k=16, Backbone=ResNet-18
2026.03
17.82
NEGGRAD
k=16, Backbone=ResNet-18
2026.03
15.79
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