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Papers Benchmarks Datasets Tasks

Machine Unlearning research benchmarks – Page 9 · SOTA2 Research

Machine Unlearning

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

6.3Nudity Generation Rate

12

May 27, 2026

6.3Nudity Generation Rate

12

May 27, 2026

51MIA

12

May 25, 2026

100Original Forgetting

12

May 11, 2026

Celeb-1000 forget-entity set (Unseen Image) n=10

2.6JUDGEprivacy

12

Apr 21, 2026

Celeb-1000 forget-entity set (Seen Image) n=10

3JUDGEprivacy

12

Apr 21, 2026

83Forget Rate

12

Apr 21, 2026

CIFAR-10 50% random unlearning

83.63PGH

12

Mar 25, 2026

CIFAR-10 10% random unlearning

0PGH

12

Mar 25, 2026

CINIC-10 CIFAR-10 Random Sampling Proxy-Retain (train test)

96.1Unlearning Accuracy (Au)

12

Mar 10, 2026

CIFAR-100 (retain)

NegGrad (SAM, SAM)

0.025Mean KLoM

12

Mar 10, 2026

CIFAR-100 (forget)

NegGrad (SAM, SAM)

0.246KLoM (Mean)

12

Mar 10, 2026

Harry Potter (test)

74.8BLEU

12

Mar 4, 2026

85.1Accuracy (Retained)

12

Feb 26, 2026

100Accuracy Retention

12

Feb 26, 2026

TOFU Llama 3.1 8B (5%)

0.914FQ

12

Feb 26, 2026

MIMIC-CXR (10% forget set)

100MIA

12

Feb 26, 2026

MIMIC-CXR (6% forget set)

100MIA

12

Feb 26, 2026

MIMIC-CXR (3% forget set)

1MIA

12

Feb 26, 2026

Fisher Forgetting

80.4Accuracy

11

Jun 16, 2026

IMDB (remaining Dr)

100Accuracy

11

Jun 16, 2026

IMDB Du (unlearning)

99.95Accuracy

11

Jun 16, 2026

CIFAR10 Dt (test)

73.2Accuracy

11

Jun 16, 2026

100Accuracy

11

Jun 16, 2026

CIFAR10 unlearning (Du)

99.93Accuracy

11

Jun 16, 2026

Page 9 of 22

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