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Differential Privacy Noise Scale Evaluation on CIFAR-10

862,998Noise Scale (L2 norm)Time Varying DP
19,204.4238,266.2457,328676,389.8Jan 5, 2026

Evaluation results

MethodLinks
Time Varying DPBackbone=ResNet-18, Noise Scale (epsilon)=0.22026.01862,99864.37
AdapLDPBackbone=ResNet-18, Noise Scale (epsilon)=0.22026.01735,13872.8
Full DPBackbone=ResNet-18, Noise Scale (epsilon)=0.22026.01727,90171.96
AdapLDPBackbone=ResNet-18, Noise Scale (epsilon)=0.32026.01512,36672.8
Full DPBackbone=ResNet-18, Noise Scale (epsilon)=0.32026.01505,26671.96
AdapLDPBackbone=ResNet-18, Noise Scale (epsilon)=0.42026.01402,97072.8
DPA LDPBackbone=ResNet-18, Noise Scale (epsilon)=0.22026.01386,45352.25
Full DPBackbone=ResNet-18, Noise Scale (epsilon)=0.42026.01383,94571.96
Time Varying DPBackbone=ResNet-18, Noise Scale (epsilon)=0.32026.01295,23164.37
LaDP-FLBackbone=ResNet-18, Noise Scale (epsilon)=0.22026.01275,447—
DPA LDPBackbone=ResNet-18, Noise Scale (epsilon)=0.32026.01261,69852.25
Sensitive DPBackbone=ResNet-18, Noise Scale (epsilon)=0.22026.01242,5834.74
DPA LDPBackbone=ResNet-18, Noise Scale (epsilon)=0.42026.01241,77852.25
Time Varying DPBackbone=ResNet-18, Noise Scale (epsilon)=0.42026.01224,12964.37
AdapLDPBackbone=ResNet-18, Noise Scale (epsilon)=0.52026.01217,34472.8
Full DPBackbone=ResNet-18, Noise Scale (epsilon)=0.52026.01203,96871.96
Time Varying DPBackbone=ResNet-18, Noise Scale (epsilon)=0.52026.01193,48764.37
Sensitive DPBackbone=ResNet-18, Noise Scale (epsilon)=0.32026.01165,2344.74
DPA LDPBackbone=ResNet-18, Noise Scale (epsilon)=0.52026.01156,94752.25
LaDP-FLBackbone=ResNet-18, Noise Scale (epsilon)=0.32026.01132,365—
Sensitive DPBackbone=ResNet-18, Noise Scale (epsilon)=0.42026.0195,4684.74
LaDP-FLBackbone=ResNet-18, Noise Scale (epsilon)=0.42026.0187,563—
Sensitive DPBackbone=ResNet-18, Noise Scale (epsilon)=0.52026.0153,9974.74
LaDP-FLBackbone=ResNet-18, Noise Scale (epsilon)=0.52026.0151,658—