Image Classification on CIFAR-10 (test) (Adversarial Accuracy)
74.75Clean AccuracyVanilla
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| VanillaModel=ConvNet, Tc (ms)=10.072025.12 | 74.75 | 41.73 | 58.24 | |
| VanillaModel=AlexNet, Tc (ms)=9.762025.12 | 74.36 | 35.31 | 54.83 | |
| FedDistFedModel=ConvNet, Tc (ms)=20.142025.12 | 72.43 | 51.71 | 62.07 | |
| FedDistFedModel=AlexNet, Tc (ms)=19.522025.12 | 71.42 | 51.54 | 61.48 | |
| FedDistModel=ConvNet, Tc (ms)=10.072025.12 | 70.49 | 51.75 | 61.12 | |
| FATModel=ConvNet, Tc (ms)=16.452025.12 | 70.47 | 58.96 | 64.71 | |
| FATModel=AlexNet, Tc (ms)=15.122025.12 | 68.85 | 58.26 | 63.55 | |
| FedDistModel=AlexNet, Tc (ms)=9.762025.12 | 66.23 | 53.09 | 59.66 |