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Backdoor Rectification on ImageNet
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69.05
Overall Accuracy
Trojaned model
65.2748
66.2549
67.235
68.2151
Mar 8, 2026
Overall Accuracy
Attack Success Rate
Updated 4mo ago
Evaluation Results
Method
Method
Links
Overall Accuracy
Attack Success Rate
Trojaned model
2026.03
69.05
87.24
Dyn. rectifying
number of samples (n)=20
2026.03
68.84
0.12
Fine-tuned model
number of samples (n)=10
2026.03
68.66
33.73
Fine-tuned model
number of samples (n)=20
2026.03
68.42
21.86
Stat. rectifying
number of samples (n)=1
2026.03
67.87
3.01
A-ClArC
number of samples (n)=20
2026.03
67.17
8.73
Dyn. rectifying
number of samples (n)=1
2026.03
66.77
1.61
Fine-tuned model
number of samples (n)=1
2026.03
65.95
79.91
Patched model
number of samples (n)=20
2026.03
65.59
13.81
P-ClArC
number of samples (n)=20
2026.03
65.42
8.09
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