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Backdoor Defense research benchmarks – Page 4 · SOTA2 Research

Backdoor Defense

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR-10 Bpp attack

94.29Backdoor Accuracy

8

Feb 26, 2026

CIFAR-10 IAD attack

94.11Backdoor Accuracy

8

Feb 26, 2026

CIFAR-10 WaNet attack

93.67Backdoor Accuracy

8

Feb 26, 2026

85.46Accuracy

8

Feb 26, 2026

80.76Accuracy

8

Feb 26, 2026

GTSRB WaNet attack

Infected Model (Before)

98.97Accuracy

8

Feb 26, 2026

GTSRB DynamicAtt attack

Infected Model (Before)

99.27Accuracy

8

Feb 26, 2026

GTSRB SIG attack

Infected Model (Before)

98.56Accuracy

8

Feb 26, 2026

GTSRB Blend attack

Infected Model (Before)

99.39Accuracy

8

Feb 26, 2026

GTSRB Badnet attack

Infected Model (Before)

99.02Accuracy

8

Feb 26, 2026

99.91Backdoor Accuracy

8

Feb 26, 2026

CIFAR-10 (test)

15.01BEC (BadNets)

7

Jun 15, 2026

95.2Clean Accuracy (CA)

7

Jun 12, 2026

98.59Clean Accuracy

7

Jun 12, 2026

78.61Clean Accuracy

7

Jun 12, 2026

83.82Clean Accuracy

7

Jun 12, 2026

91.32Clean Accuracy (CA)

7

Jun 12, 2026

Style poisoned Llama 3.1 8B Instruct

5.44Utility Score

7

Jun 11, 2026

CIFAR-10 (Aggregate (IID & Non-IID))

87.05Average Model Accuracy

7

Feb 26, 2026

CIFAR-10 alpha=0.5 (Non-IID)

85.74MA

7

Feb 26, 2026

CIFAR-10 Average alpha Neurotoxin attack (test)

87.88MA

7

Feb 26, 2026

CIFAR-10 alpha=0.7 Neurotoxin attack Round 2001 100 rounds (test)

87.53Mean Accuracy

7

Feb 26, 2026

CIFAR-10 alpha=0.5 Neurotoxin attack, Round 2001, 100 rounds (test)

87.85MA

7

Feb 26, 2026

CIFAR-10 alpha=0.2 Neurotoxin attack Round 2001 100 rounds (test)

88.26Mean Accuracy

7

Feb 26, 2026

Poisoned Victim Model

98.7Clean Accuracy

7

Feb 26, 2026

Page 4 of 7

Popular datasets

CIFAR CIFAR-10 GTSRB ImageNet COCO

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