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Papers Benchmarks Datasets Tasks

Backdoor Feature Unlearning research benchmarks · SOTA2 Research

Backdoor Feature Unlearning

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

67.52Accuracy

6

Feb 26, 2026

CIFAR-100 (D_t)

73.59Accuracy

6

Feb 26, 2026

82.52Accuracy

6

Feb 26, 2026

91.23Accuracy

6

Feb 26, 2026

93.52Accuracy

6

Feb 26, 2026

96.85Accuracy

6

Feb 26, 2026

ImageNet Du (unlearn)

83.16Accuracy

6

Feb 26, 2026

ImageNet Dr (retain)

67.34Accuracy

6

Feb 26, 2026

CIFAR-100 Du (unlearn)

88.98Accuracy

6

Feb 26, 2026

CIFAR-100 Dr (retain)

73.66Accuracy

6

Feb 26, 2026

CIFAR-20 Du (unlearn)

94.21Accuracy

6

Feb 26, 2026

CIFAR-20 Dr (retain)

82.67Accuracy

6

Feb 26, 2026

CIFAR-10 Du (unlearn)

95.05Accuracy

6

Feb 26, 2026

CIFAR-10 Dr (retain)

92.02Accuracy

6

Feb 26, 2026

FMNIST Du (unlearn)

94.51Accuracy

6

Feb 26, 2026

FMNIST Dr (retain)

94.36Accuracy

6

Feb 26, 2026

MNIST Du split (unlearn)

97.43Accuracy

6

Feb 26, 2026

MNIST Dr (retain)

97.19Accuracy

6

Feb 26, 2026

Popular datasets

CIFAR ImageNet MNIST fMNIST CIFAR-100

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