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Papers Benchmarks Datasets Tasks

Backdoor Defense research benchmarks – Page 6 · SOTA2 Research

Backdoor Defense

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR-10 clean data SIG attack 10% (train)

93.65Accuracy

6

Feb 26, 2026

CIFAR-10 10% clean data, CLB attack (train)

93.78Accuracy

6

Feb 26, 2026

CIFAR-10 IAB-all attack clean data 10% (train)

94.1Accuracy

6

Feb 26, 2026

CIFAR-10 IAB-one attack 10% (train)

93.89Accuracy

6

Feb 26, 2026

CIFAR-10 10% clean data Blend attack (train)

94.82Accuracy

6

Feb 26, 2026

CIFAR-10 10% clean data, Badnets attack (train)

93.73Accuracy

6

Feb 26, 2026

CIFAR-10 (1% clean data (500 images))

93.73ACC (Badnets)

6

Feb 26, 2026

CIFAR-10 1% (500 images) (train)

93.73Badnets Defense ACC

6

Feb 26, 2026

Atari environments

1.29Online Cost

5

May 8, 2026

CIFAR-10 Average across 5 attacks

93.8BA

5

Feb 26, 2026

CIFAR-10 Blend attack

94.6Backdoor Accuracy

5

Feb 26, 2026

COLORAN E-perp triggers

0.171C1 Score

4

Jul 9, 2026

94.16Backdoor Accuracy

4

Feb 26, 2026

CIFAR-10 Non-IID, beta=0.7

94.76Backdoor Accuracy (BA)

4

Feb 26, 2026

CIFAR-10 Non-IID beta=0.5

93.44Backdoor Accuracy (BA)

4

Feb 26, 2026

CIFAR-10 Non-IID, beta=0.3

0.94Backdoor Accuracy

4

Feb 26, 2026

coo-MARL environments Sequential Attack

95.3MR

3

May 8, 2026

SARL environments Sequential Attack

73.7Misclassification Rate (MR)

3

May 8, 2026

SARL and MARL environments Reward-Constrained Attack

1.09MR

3

May 8, 2026

SARL and MARL environments Normal Attack

0.883Misclassification Rate (MR)

3

May 8, 2026

CIFAR-10 Blend poisoned (test)

94.6Backdoor Accuracy

3

Feb 26, 2026

ImageNet Subset (test)

0.45ASR

3

Feb 26, 2026

Multiple Backdoor Dataset (test)

99.83ASR (All)

3

Feb 26, 2026

CIFAR-10 SSDT 1.0 (test)

93.86Backdoor Accuracy (BA)

2

Feb 26, 2026

CIFAR-10 Adap-Patch 1.0 (test)

94.2Backdoor Accuracy

2

Feb 26, 2026

Page 6 of 7

Popular datasets

CIFAR CIFAR-10 GTSRB ImageNet COCO

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