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Papers Benchmarks Datasets Tasks

Image Classification Unlearning research benchmarks · SOTA2 Research

Image Classification Unlearning

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR-10 50% Random Forgetting

0.011MIA

21

May 18, 2026

CIFAR-100 50% random data forgetting

5.74MIA (Membership Inference Attack)

21

May 18, 2026

Tiny ImageNet 30% class-wise forgetting

92.7Accuracy (Train Retained)

16

Apr 13, 2026

CIFAR-10 50% Random Forgetting (test)

84.8Accuracy

8

Apr 13, 2026

CIFAR-10 50% Random Forgetting Forget D_f^train (train)

92.5Accuracy

8

Apr 13, 2026

CIFAR-10 50% Random Forgetting Retain set D_r (train)

99.3Accuracy

8

Apr 13, 2026

CIFAR-10 30% Random Forgetting Forget set D_f^train (train)

92.9Accuracy

8

Apr 13, 2026

CIFAR-10 30% Random Forgetting Retain D_r^train (train)

99.2Accuracy

8

Apr 13, 2026

CIFAR-100 30% random data forgetting

99.6Utility Retention (Retained Train)

8

Apr 13, 2026

Popular datasets

CIFAR CIFAR-10 CIFAR-100 Tiny-ImageNet

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