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Machine Unlearning on Tiny-ImageNet Forget 50%

96.6RMIA AUCSCRUB
45.931259.085672.2485.3944Mar 11, 2026Mar 16, 2026Mar 21, 2026Mar 26, 2026Mar 31, 2026Apr 5, 2026Apr 10, 2026

Evaluation results

MethodLinks
SCRUBBackbone=ViT2026.0496.6—2.660.449.100
FTBackbone=ViT2026.0495.5—1.167.447.500
IEU w/GA+NoisyBackbone=ViT2026.0495.5—0.466.745.100
IEU w/GABackbone=ViT2026.0495.3—0.566.245.600
IEU w/NoisyBackbone=ViT2026.0495.1—0.566.345.900
SALUNBackbone=ViT2026.0494.3—6.839.738.10.10.1
RetrainingBackbone=ViT2026.0494—066.544.700
RLBackbone=ViT2026.0493.9—2.260.349.500
RetrainingBackbone=ResNet2026.0490.9—094.860.800
FTBackbone=ResNet2026.0490.9—1.390.262.700
RLBackbone=ResNet2026.0490.9—2.185.862.300
SALUNBackbone=ResNet2026.0490.9—7.763.155.10.40.4
IEU w/GABackbone=ResNet2026.0490.9—1.390.562.900
IEU w/GA+NoisyBackbone=ResNet2026.0490.9—1.289.661.500
SCRUBBackbone=ResNet2026.0490.8—3.381.463.800
IEU w/NoisyBackbone=ResNet2026.0490.8—0.990.760.500
NEGGRADBackbone=Swin-T2026.0379.8461.1923.61————
BASEBackbone=Swin-T2026.0379.7461.223.58————
SSDBackbone=Swin-T2026.0374.8438.121.09————
FINETUNEBackbone=Swin-T2026.0361.4645.745.7————
AMUNBackbone=Swin-T2026.0359.3748.215.34————
SALUNBackbone=Swin-T2026.0358.0447.775.36————
NEGGRAD+Backbone=Swin-T2026.0356.6643.634.12————
ℓ1-SPARSEBackbone=Swin-T2026.0355.2343.484.05————
RETRAINBackbone=Swin-T2026.0350.347.950————
REGUNBackbone=Swin-T2026.0347.8845.571.37————