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Backdoor Defense research benchmarks – Page 2 · SOTA2 Research

Backdoor Defense

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Short Prompt Dataset

100ASR (CLIP)

27

Mar 19, 2026

GTSRB 1% poison rate (test)

98Clean Accuracy

27

Feb 26, 2026

CIFAR-10 BadNet v1 (test)

Clean retraining

95.3Clean Accuracy

26

Jun 16, 2026

Code Injection (test)

2.01ASR

22

Mar 17, 2026

GTSRB BadNets (test)

100Attack Success Rate

22

Feb 26, 2026

GTSRB Random-regular topology (test)

MAB(TOPY AWARE)

85.97Accuracy (ACC)

21

Mar 20, 2026

GTSRB Scale-free topology (test)

MAB(TOPY AWARE)

85.03Accuracy (Clean)

21

Mar 20, 2026

CIFAR-10 1.0 (test)

Original Backdoored Model

94.04BadNet C-Acc

20

Feb 26, 2026

0.99AUC

20

Feb 26, 2026

0.99AUC

20

Feb 26, 2026

1AUC

20

Feb 26, 2026

0.99AUC

20

Feb 26, 2026

Bank marketing (test)

86Misclassification Accuracy

18

Apr 7, 2026

87Model Accuracy (MA)

18

Apr 7, 2026

0.67AER

18

Feb 26, 2026

87AER

18

Feb 26, 2026

CIFAR-10 LC DenseNet-161 (test)

90.17Clean Accuracy

17

Feb 26, 2026

CIFAR-10 SSBA DenseNet-161 (test)

90.17Clean Accuracy

17

Feb 26, 2026

CIFAR-10 LC v1 (test)

94.6Clean Accuracy

17

Feb 26, 2026

CIFAR-10 SSBA v1 (test)

94.6Clean Accuracy

17

Feb 26, 2026

95.07BadNet C-Acc

17

Feb 26, 2026

CIFAR-10 BadNet DenseNet-161 (test)

90.17C-Acc

15

Feb 26, 2026

BadNets poisoned Llama-3.1-8B-Instruct

5.49Utility Score

14

Jun 11, 2026

95.8Accuracy

14

Feb 26, 2026

55.16Total Time (s)

14

Feb 26, 2026

Page 2 of 7

Popular datasets

CIFAR CIFAR-10 GTSRB ImageNet COCO

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