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Machine Unlearning on Tiny-ImageNet (1 Class Forget, Retain Set)

66.52AccuracyRetain-only Retrain
60.394461.984763.57565.1653Apr 9, 2026

Evaluation results

MethodLinks
Retain-only RetrainEvaluation Protocol=Output2026.0466.52
Retain-only RetrainEvaluation Protocol=Linear Probe2026.0465.9
OriginalEvaluation Protocol=Output2026.0465.27
OriginalEvaluation Protocol=Linear Probe2026.0465.1
OriginalEvaluation Protocol=NCC2026.0464.65
Retain-only RetrainEvaluation Protocol=NCC2026.0463.57
Salun with CMFEvaluation Protocol=Linear Probe2026.0463.18
NegGrad+ with CMFEvaluation Protocol=Linear Probe2026.0462.9
Salun with CMFEvaluation Protocol=NCC2026.0462.67
Salun with CMFEvaluation Protocol=Output2026.0462.62
Random-label with CMFEvaluation Protocol=Linear Probe2026.0462.56
NegGrad+ with CMFEvaluation Protocol=NCC2026.0462.31
Scrub with CMFEvaluation Protocol=Linear Probe2026.0462.13
Random-label with CMFEvaluation Protocol=Output2026.0462.01
Random-label with CMFEvaluation Protocol=NCC2026.0461.96
Scrub with CMFEvaluation Protocol=NCC2026.0461.66
Scrub with CMFEvaluation Protocol=Output2026.0461.64
NegGrad+ with CMFEvaluation Protocol=Output2026.0461.18
UNSIR with CMFEvaluation Protocol=Linear Probe2026.0460.96
UNSIR with CMFEvaluation Protocol=Output2026.0460.81
UNSIR with CMFEvaluation Protocol=NCC2026.0460.63