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Machine Unlearning on CIFAR-100 10 classes

96.9Retain AccuracyDelete
9.061631.865854.6777.4742Apr 9, 2026Apr 20, 2026May 1, 2026May 12, 2026May 23, 2026Jun 3, 2026Jun 15, 2026

Evaluation results

MethodLinks
DeleteBackbone=ViT-Small, Rank=322026.0696.9—5.760.038
SalUnBackbone=ViT-Small, Rank=322026.0692.14—61.740.116
TrustEraseBackbone=ViT-Small, Rank=322026.0689.03—00.38
Boundary ExpandBackbone=ViT-Small, Rank=322026.0688.64—58.780.012
FinetuneBackbone=ViT-Small, Rank=322026.0687.28—60.110.79
L2ULBackbone=ViT-Small, Rank=322026.0683.07—80.910.964
Gradient AscentBackbone=ViT-Small, Rank=322026.0683—81.70.964
Retain-only RetrainEvaluation Protocol=Output2026.0476.50——
Retain-only RetrainAccuracy Evaluation Protocol=Output2026.0476.50——
Salun with CMFEvaluation Protocol=Linear Probe2026.0475.1867.2——
Salun with CMFEvaluation Protocol=NCC2026.0475.0365.2——
Random-label with CMFEvaluation Protocol=Linear Probe2026.0474.9866.44——
Salun with CMFEvaluation Protocol=Output2026.0474.9862.1——
Random-label with CMFEvaluation Protocol=Output2026.0474.8554.4——
Random-label with CMFEvaluation Protocol=NCC2026.0474.8260.24——
SCRUBAccuracy Evaluation Protocol=Output2026.0474.560.32——
Retain-only FTAccuracy Evaluation Protocol=Output2026.0474.5364.96——
OriginalEvaluation Protocol=Output2026.0474.4775.88——
OriginalAccuracy Evaluation Protocol=Output2026.0474.4775.88——
OriginalEvaluation Protocol=Linear Probe2026.0474.3875.9——
OriginalAccuracy Evaluation Protocol=Linear Probe2026.0474.3875.9——
OriginalEvaluation Protocol=NCC2026.0474.2875.68——
OriginalAccuracy Evaluation Protocol=NCC2026.0474.2875.68——
Scrub with CMFEvaluation Protocol=Output2026.0474.2735.02——
Scrub with CMFEvaluation Protocol=Linear Probe2026.0474.1858.34——
Scrub with CMFEvaluation Protocol=NCC2026.0474.1242.82——
Retain-only FTAccuracy Evaluation Protocol=NCC2026.0474.0873.56——
Retain-only FTAccuracy Evaluation Protocol=Linear Probe2026.0473.9774.5——
UNSIRAccuracy Evaluation Protocol=Output2026.0473.5814.58——
SVDAccuracy Evaluation Protocol=Linear Probe2026.0473.3874.08——
SVDAccuracy Evaluation Protocol=NCC2026.0473.3372.22——
SVDAccuracy Evaluation Protocol=Output2026.0473.155.56——
SCRUBAccuracy Evaluation Protocol=Linear Probe2026.0473.0566.92——
SalUnAccuracy Evaluation Protocol=Output2026.0472.920.06——
UNSIR with CMFEvaluation Protocol=Output2026.0472.619.16——
UNSIR with CMFEvaluation Protocol=Linear Probe2026.0472.5120.98——
UNSIR with CMFEvaluation Protocol=NCC2026.0472.489.94——
NegGrad+ with CMFEvaluation Protocol=Linear Probe2026.0472.3550.62——
SCRUBAccuracy Evaluation Protocol=NCC2026.0472.3553.58——
NegGrad+Accuracy Evaluation Protocol=Linear Probe2026.0472.262.32——
Random-labelAccuracy Evaluation Protocol=Output2026.0472.190——
UNSIRAccuracy Evaluation Protocol=Linear Probe2026.0472.1567.64——
SalUnAccuracy Evaluation Protocol=Linear Probe2026.0472.172.66——
Random-labelAccuracy Evaluation Protocol=Linear Probe2026.0472.0872.08——
NegGrad+ with CMFEvaluation Protocol=NCC2026.0471.7541.54——
NegGrad+ with CMFEvaluation Protocol=Output2026.0471.4530.38——
UNSIRAccuracy Evaluation Protocol=NCC2026.0471.2659.24——
Retain-only RetrainEvaluation Protocol=NCC2026.0470.9843.18——
Retain-only RetrainAccuracy Evaluation Protocol=NCC2026.0470.9843.18——
NegGrad+Accuracy Evaluation Protocol=Output2026.0470.80.28——
Random-labelAccuracy Evaluation Protocol=NCC2026.0470.6762.22——
SalUnAccuracy Evaluation Protocol=NCC2026.0470.6263.34——
NegGrad+Accuracy Evaluation Protocol=NCC2026.0470.0841.24——
Retain-only RetrainEvaluation Protocol=Linear Probe2026.0469.3460.94——
Retain-only RetrainAccuracy Evaluation Protocol=Linear Probe2026.0469.3460.94——
Boundary ShrinkBackbone=ViT-Small, Rank=322026.0654.18—21.510.841
Random LabelBackbone=ViT-Small, Rank=322026.0642.57—4.790.971
Bad TeacherBackbone=ViT-Small, Rank=322026.0612.44—0.860.988