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Papers Benchmarks Datasets Tasks

Machine Unlearning research benchmarks – Page 3 · SOTA2 Research

Machine Unlearning

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

WMDP-chem 1.0 (test)

0.56BF16

28

May 15, 2026

WMDP-bio 1.0 (test)

80.3BF16 Accuracy

28

May 15, 2026

1Forget Quality

28

May 15, 2026

99.99BSC

28

May 12, 2026

99.66BSC

28

May 12, 2026

1.43MBG

28

May 12, 2026

51.16MBG

28

May 12, 2026

Tiny-ImageNet Swin-T (test)

75.72Residual Accuracy

28

Feb 26, 2026

52.27MBG

28

May 12, 2026

64Aggregation Metric

27

Mar 16, 2026

CIFAR-10 Random Forget (50%)

100Unlearn Acc

27

Jun 2, 2026

MUSE-News Llama 2 7B

-99.895Privacy Leakage

27

Feb 26, 2026

CIFAR10 N=500 (RANDOM)

0KL Divergence (Train)

26

May 12, 2026

Tiny-ImageNet Forget 50%

96.6RMIA AUC

26

Apr 13, 2026

ImageNet Class Forgetting 3-class average

98.1Utility Score (Au)

26

Mar 10, 2026

CIFAR-10 class forgetting (test)

97.3Au

25

Mar 10, 2026

CIFAR-10 random sampling (test)

96.38Au

25

Mar 10, 2026

FEMNIST natural partition (test)

76.3MIA Accuracy

24

Jun 16, 2026

CIFAR-100 alpha_dir = 0.5 (test)

82MIA Accuracy

24

Jun 16, 2026

CIFAR-10 alpha_dir = 0.5 (test)

79.1MIA Accuracy

24

Jun 16, 2026

3.5Nudity Generation Rate

24

May 27, 2026

TOFU (forget 10% data)

97.66UFE Score

24

May 22, 2026

TOFU (forget 5% data)

97.65UFE

24

May 22, 2026

TOFU (forget 1% data)

97.88UFE

24

May 22, 2026

PACS Sketch (OOD)

100Original Forgetting Rate

24

May 11, 2026

Page 3 of 22

Popular datasets

CIFAR TOFU ImageNet WMDP MUSE

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