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Machine Unlearning research benchmarks – Page 13 · SOTA2 Research

Machine Unlearning

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR-10 Forget 10%

94.29Test Accuracy

10

Mar 13, 2026

CIFAR-10 Forget 1%

94.34Test Accuracy

10

Mar 13, 2026

0Forget Quality

10

Feb 26, 2026

WMDP average of biology and cyber

0.557Accuracy

10

Feb 26, 2026

TOFU Llama-3-3B (unlearning)

6.042Extraction Strength

10

Feb 26, 2026

WMDP Bio (test)

63.7Bio Score

10

Feb 26, 2026

TOFU 1.0 (Forget Set)

LLAMA2-13B-TOFU

1ROUGE-L

10

Feb 26, 2026

0.17Epsilon LB

9

Jul 8, 2026

EUPG (ϵ=1, δ=0)

0.046Unlearning Runtime (s)

9

Jun 30, 2026

0.033Unlearning Runtime (s)

9

Jun 30, 2026

0.03Unlearning Runtime (s)

9

Jun 30, 2026

-57.34Privacy Leak

9

Jun 4, 2026

99.7VerbMem Dfg

9

Jun 4, 2026

100Retention Accuracy (RA)

9

Jun 4, 2026

Hubble Gutenberg

0.226FVM (ROUGE)

9

May 11, 2026

Full (pre-unlearn)

100FVM (ROUGE)

9

May 11, 2026

0FKM (Forget Set Knowledge Memorization)

9

May 11, 2026

PathMNIST External (test)

Retrained Model

88.63Residual Accuracy (Acc_r)

9

Apr 28, 2026

PathMNIST Internal (test)

97.78Accuracy (Retained)

9

Apr 28, 2026

Real-world unlearning scenario

82.17Forget Accuracy

9

Apr 20, 2026

R-TOFU 10% (Forget10)

0.721MU Score

9

Apr 20, 2026

R-TOFU (Forget05)

72.11MU

9

Apr 20, 2026

R-TOFU 1% (Forget01)

72.11Unlearning Utility (MU)

9

Apr 20, 2026

80Forget Accuracy

9

Apr 20, 2026

CIFAR-10 50% sample-wise unlearning

99.45Accuracy (Df)

9

Apr 15, 2026

Page 13 of 22

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