Adversarial Attack On Cifar 10
Metrics
Attack: PGD20
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Attack: PGD20 |
|---|---|
| theoretically-principled-trade-off-between | 45.900 |
| towards-deep-learning-models-resistant-to | 48.440 |
| attention-masks-help-adversarial-attacks-to | - |
| ensemble-everything-everywhere-multi-scale | - |
| an-orthogonal-classifier-for-improving-the | 78.680 |
| robust-representation-learning-via-asymmetric | - |