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Backdoor Detection research benchmarks – Page 2 · SOTA2 Research

Backdoor Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR-10 imbalanced µ=0.9, ρ=100 (test)

100Badnets TPR

13

Feb 26, 2026

CIFAR-10 imbalanced µ=0.9, ρ=2 (test)

96.7Badnets TPR

13

Feb 26, 2026

0Count_TellMeSeriously

12

Jul 1, 2026

1Top-1 ASR

12

Feb 26, 2026

100Top-1 ASR

12

Feb 26, 2026

99.9TPR

12

Feb 26, 2026

poisoned models (Task 1)

Proposed Method

100Detection Rate

11

Feb 26, 2026

Perturbation-based Games Average

90AUROC

10

Jun 12, 2026

0.917AUROC

10

Jun 12, 2026

Stable Diffusion StyleAtt attacks v1.5

93.33Precision

10

Mar 9, 2026

CIFAR-10 all-to-one (test)

96Clean Detection Rate

10

Feb 26, 2026

0.96Clean Detection Rate

10

Feb 26, 2026

99.03TPR

9

May 20, 2026

Howdy! Backdoor Attack

RISE_{128/24/128}

99.6AUPRC (Top-5)

9

Apr 20, 2026

ImageNet-1K (test)

75AUROC

9

Mar 4, 2026

CIFAR-100 (test)

100Top-1 ASR

9

Feb 26, 2026

ImageNet-1K 200 (test)

10Bd. Metric

9

Feb 26, 2026

STL-10 target attack

493True Positives (TP)

9

Mar 4, 2026

65DACC

8

Jul 2, 2026

81Detection Accuracy

8

Jul 2, 2026

55DACC

8

Jul 2, 2026

73Detection Accuracy (DACC)

8

Jul 2, 2026

TinyImagenet 280/44

99.29True Positive Rate (TPR)

8

May 20, 2026

99.05TPR

8

May 20, 2026

CIFAR10 (210 77)

98.1TPR

8

May 20, 2026

Page 2 of 5

Popular datasets

GTSRB CIFAR ImageNet MS-COCO Stable Diffusion

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