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ResearchFormerly WizWand

Cluster-wise Machine Unlearning on CIFAR100 cluster-wise (In)

0Membership Disclosure (Forgotten)OR
-0.040.230.50.77Aug 5, 2025
Updated 8mo ago

Evaluation results

MethodLinks
ORBackbone=RepVGG-A2, c=50, d=50, alpha=0.05, Number of forgotten clusters=52025.0801001000950.060———
ORBackbone=RepVGG-A2, c=50, d=50, alpha=0.05, Number of forgotten clusters=52025.080——0—0.06010010095
BADTBackbone=RepVGG-A2, c=50, d=50, alpha=0.05, Number of forgotten clusters=52025.080.021001000.02950.160.04———
BADTBackbone=RepVGG-A2, c=50, d=50, alpha=0.05, Number of forgotten clusters=52025.080.02——0.02—0.160.0410010095
SCRUBBackbone=RepVGG-A2, c=50, d=50, alpha=0.05, Number of forgotten clusters=52025.080.05100990.05950.080.11———
SCRUBBackbone=RepVGG-A2, c=50, d=50, alpha=0.05, Number of forgotten clusters=52025.080.05——0.05—0.080.111009995
SSDBackbone=RepVGG-A2, c=50, d=50, alpha=0.05, Number of forgotten clusters=52025.080.951001000.87970.630.88———
SSDBackbone=RepVGG-A2, c=50, d=50, alpha=0.05, Number of forgotten clusters=52025.080.95——0.87—0.630.8810010097
AMNBackbone=RepVGG-A2, c=50, d=50, alpha=0.05, Number of forgotten clusters=52025.080.971001000.19950.170.39———
AMNBackbone=RepVGG-A2, c=50, d=50, alpha=0.05, Number of forgotten clusters=52025.080.97——0.19—0.170.3910010095
∇τBackbone=RepVGG-A2, c=50, d=50, alpha=0.05, Number of forgotten clusters=52025.0811001001980.850.97———
EFFACEBackbone=RepVGG-A2, c=50, d=50, alpha=0.05, Number of forgotten clusters=52025.0811001001970.860.97———
∇τBackbone=RepVGG-A2, c=50, d=50, alpha=0.05, Number of forgotten clusters=52025.081——1—0.850.9710010098
EFFACEBackbone=RepVGG-A2, c=50, d=50, alpha=0.05, Number of forgotten clusters=52025.081——1—0.860.9710010097