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Benchmarks
Image Classification on CIFAR-10 (Retain)
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100
Accuracy
Retrain
94.1136
95.6418
97.17
98.6982
Mar 7, 2025
Accuracy
Accuracy Retain Delta
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
Accuracy Retain Delta
Retrain
Backbone=ResNet-18
2025.03
100
0
l1-sparse
Backbone=ResNet-18
2025.03
99.98
0.02
BadT
Backbone=ResNet-18
2025.03
99.89
0.11
NoT
Backbone=ResNet-18
2025.03
99.69
0.31
SSD
Backbone=ResNet-18
2025.03
98.82
1.18
GA
Backbone=ResNet-18
2025.03
98.76
1.24
FT
Backbone=ResNet-18
2025.03
98.63
1.37
SalUn
Backbone=ResNet-18
2025.03
98.29
1.71
RandL
Backbone=ResNet-18
2025.03
94.34
5.66
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