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Reconstruction Robustness on CIFAR10 (train)

0.0013MSE (Decoder-based)No_defense
0.0000320.0085910.017150.025709Mar 1, 2025

Evaluation results

MethodLinks
No_defenseBackbone=VGG11, CEM integration=false2025.030.00130.0014
BottleneckBackbone=VGG11, CEM integration=false2025.030.00360.0039
Bottleneck+CEMBackbone=VGG11, CEM integration=true2025.030.00540.0076
DistCorrBackbone=VGG11, CEM integration=false2025.030.00740.0079
DistCorr+CEMBackbone=VGG11, CEM integration=true2025.030.0090.0094
DropoutBackbone=VGG11, CEM integration=false2025.030.00980.0099
Dropout+CEMBackbone=VGG11, CEM integration=true2025.030.01290.0132
ResSFLBackbone=VGG11, CEM integration=false2025.030.01460.0158
Average w/o CEMBackbone=VGG11, CEM integration=false2025.030.01480.0156
Noise_NopeekBackbone=VGG11, CEM integration=false2025.030.01520.0156
Noise_Nopeek+CEMBackbone=VGG11, CEM integration=true2025.030.01740.0173
Average w/ CEMBackbone=VGG11, CEM integration=true2025.030.01830.0194
ResSFL+CEMBackbone=VGG11, CEM integration=true2025.030.02010.0229
PATROLBackbone=VGG11, CEM integration=false2025.030.02450.0257
Noise_ARLBackbone=VGG11, CEM integration=false2025.030.0290.0304
PATROL+CEMBackbone=VGG11, CEM integration=true2025.030.03040.0313
Noise_ARL+CEMBackbone=VGG11, CEM integration=true2025.030.0330.0341