Adversarial Robustness On Cifar 100
Metrics
AutoAttacked Accuracy
Clean Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | AutoAttacked Accuracy | Clean Accuracy |
|---|---|---|
| improving-the-accuracy-robustness-trade-off | 38.72 | 85.21 |
| robust-representation-learning-via-asymmetric | 35.05 | 60.10 |