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Class Unlearning on CIFAR-10 (test)

94.78Test AccuracyFT
8.522430.916253.3175.7038Dec 29, 2025Jan 20, 2026Feb 12, 2026Mar 7, 2026Mar 30, 2026Apr 22, 2026May 15, 2026

Evaluation results

MethodLinks
FTBackbone=ResNet-18, TParams=100%2026.0594.78————————————93.53——31.6999.92
SEMU-remainBackbone=ResNet-18, TParams=0.63%2026.0594.76————————————100——99.9999.48
SalUn-softBackbone=ResNet-18, TParams=50%2026.0594.64————————————100——97.1399.88
SalUnBackbone=ResNet-18, TParams=50%2026.0594.56————————————100——99.9199.93
RLBackbone=ResNet-18, TParams=100%2026.0594.52————————————100——89.3399.92
RetrainingSetting=Reference Baselines2026.0194.1—————————————00——
Representation UnlearningSetting=Standard Setting, Access to Dr and Df=true2026.0193.5—————————————1.90.36——
Representation UnlearningSetting=Zero-Shot Setting, Access to Dr=false2026.0193.2—————————————40.42——
SCRUBSetting=Standard Setting, Access to Dr and Df=true2026.0193.1—————————————00.31——
Bad TeacherSetting=Standard Setting, Access to Dr and Df=true2026.0192.8—————————————8.40.52——
BEFORE2026.0392.59—————————————————
RetrainBackbone=ResNet-18, TParams=100%2026.0592.47————————————100——100100
ℓ1-sparseBackbone=ResNet-18, TParams=100%2026.0592.29————————————100——10097.92
SEMUBackbone=ResNet-18, TParams=0.87%2026.0592.26————————————100——99.8398.22
BARRIERBackbone=ResNet-18, TParams=0.05%2026.0592.26————————————100——10097.72
BSBackbone=ResNet-18, TParams=100%2026.0591.94————————————93.42——79.697.79
BEBackbone=ResNet-18, TParams=100%2026.0591.88————————————93.6——79.1397.71
SISASetting=Standard Setting, Access to Dr and Df=true2026.0191.8—————————————0.30.3——
Fine-tuningSetting=Reference Baselines2026.0191.3—————————————12.90.47——
UNSIRSetting=Standard Setting, Access to Dr and Df=true2026.0191.3—————————————14.10.49——
IUBackbone=ResNet-18, TParams=100%2026.0589.1————————————99.13——97.0294.78
B. ShrinkingSetting=Zero-Shot Setting, Access to Dr=false2026.0183.7—————————————11.81.86——
Retrainm (number of unlearning classes)=2, n (percentage of samples to unlearn)=100%2025.1281.35—————————————————
FedORAm (number of unlearning classes)=2, n (percentage of samples to unlearn)=100%2025.1281.32—————————————————
Retrainm (number of unlearning classes)=5, n (percentage of samples to unlearn)=100%2025.1280.65—————————————————
FedORAm (number of unlearning classes)=5, n (percentage of samples to unlearn)=100%2025.1280.47—————————————————
ORACLE2026.0379.14—————————————————
CVFUm (number of unlearning classes)=5, n (percentage of samples to unlearn)=100%2025.1279.05—————————————————
ICOm (number of unlearning classes)=2, n (percentage of samples to unlearn)=100%2025.1278.39—————————————————
STRUCTGUARD2026.0378.2—————————————————
ICOm (number of unlearning classes)=5, n (percentage of samples to unlearn)=100%2025.1277.83—————————————————
CVFUm (number of unlearning classes)=2, n (percentage of samples to unlearn)=100%2025.1277.77—————————————————
GAm (number of unlearning classes)=2, n (percentage of samples to unlearn)=100%2025.1267.45—————————————————
GAm (number of unlearning classes)=5, n (percentage of samples to unlearn)=100%2025.1266.25—————————————————
L2UL2026.0364.56—————————————————
ADV2026.0362.2—————————————————
RAWP2026.0359.31—————————————————
GKTSetting=Zero-Shot Setting, Access to Dr=false2026.0146.6—————————————92.41——
GABackbone=ResNet-18, TParams=100%2026.0538.18————————————99.98——99.9138.92
EMMNSetting=Zero-Shot Setting, Access to Dr=false2026.0123.3—————————————08.51——
NEGGRAD2026.0313.77—————————————————
FISHER2026.0311.84—————————————————
B1Num_f=12026.04———————091.7—————————
B1Num_f=22026.04———————090.1—————————
B2Num_f=12026.04———————0.685.73—————————
B2Num_f=22026.04———————0.2582.06—————————
B3Num_f=12026.04———————4.9479.78—————————
B3Num_f=22026.04———————6.9578.36—————————
B4Num_f=12026.04———————2.568.11—————————
B4Num_f=22026.04———————7.4786.55—————————
B5Num_f=12026.04———————7.5787.56—————————
B5Num_f=22026.04———————5.0287.1—————————
B6Num_f=12026.04———————985.71—————————
B6Num_f=22026.04———————0.6586.85—————————
B7Num_f=12026.04———————0.284.1—————————
B7Num_f=22026.04———————1.7585.79—————————
B8Num_f=12026.04———————1.188.5—————————
B8Num_f=22026.04———————0.8585.99—————————
B9Num_f=12026.04———————084.78—————————
B9Num_f=22026.04———————084.35—————————
Bad-TBackbone=All-CNN, Application=Removing Biases (RB)2023.02—16.980.45.840.4381.933.5———————————
BSDr (Access to remaining data)=false, Backbone=AllCNN2025.04———————10.9895.8913.4384.4192.3285.4357.26————
CF-kBackbone=All-CNN, Application=Removing Biases (RB)2023.02—14.990.230000———————————
ESCDr (Access to remaining data)=false, Backbone=AllCNN2025.04———————9.4696.5210.7385.5993.4387.3953.02————
ESC-TDr (Access to remaining data)=false, Backbone=AllCNN2025.04———————097.23086.0898.692.5156.72————
EU-kBackbone=All-CNN, Application=Removing Biases (RB)2023.02—15.30.690.130.141000———————————
FinetuneBackbone=All-CNN, Application=Removing Biases (RB)2023.02—15.390.220000———————————
FinetuneDr (Access to remaining data)=true, Backbone=AllCNN2025.04———————6.8998.95.5385.9495.919053.13————
FisherBackbone=All-CNN, Application=Removing Biases (RB)2023.02—27.42.283.661.03990———————————
FisherDr (Access to remaining data)=false, Backbone=AllCNN2025.04———————0.7496.160.6381.2297.6989.3854.6————
JellyfishNum_f=12026.04———————087.23—————————
JellyfishNum_f=22026.04———————0.1587.39—————————
l1-sparseDr (Access to remaining data)=false, Backbone=AllCNN2025.04———————089.95084.8194.7191.7855.76————
LAUDr (Access to remaining data)=true, Backbone=AllCNN2025.04———————0.1592.840.0782.2896.2290.2554.92————
NegGrad+Backbone=All-CNN, Application=Removing Biases (RB)2023.02—17.870.310.580.1387.221.67———————————
NGDr (Access to remaining data)=false, Backbone=AllCNN2025.04———————2.4690.272.1775.8393.7685.4453.8————
originNum_f=12026.04———————94.690.13—————————
originNum_f=22026.04———————93.5590.13—————————
OriginalBackbone=All-CNN, Application=Removing Biases (RB)2023.02—15.560.250000———————————
OriginalDr (Access to remaining data)=false, Backbone=AllCNN2025.04———————98.4298.2985.986.573.1124.2557.68————
RetrainBackbone=All-CNN, Application=Removing Biases (RB)2023.02—13.970.19001000———————————
RetrainDr (Access to remaining data)=false, Backbone=AllCNN2025.04———————096.93086.0298.4492.4850.06————
RLDr (Access to remaining data)=false, Backbone=AllCNN2025.04———————13.2598.217.9380.4392.1285.8557.1————
SalUnDr (Access to remaining data)=false, Backbone=AllCNN2025.04———————098.86086.899.4392.9456.42————
SCRUBBackbone=All-CNN, Application=Removing Biases (RB)2023.02—15.060.140.120.031000———————————
SCRUBDr (Access to remaining data)=true, Backbone=AllCNN2025.04———————10.3997.154.583.3393.238955.5————