Adversarial Robustness On Cifar 100
Metriken
AutoAttacked Accuracy
Clean Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
Modellname | AutoAttacked Accuracy | Clean Accuracy |
---|---|---|
improving-the-accuracy-robustness-trade-off | 38.72 | 85.21 |
robust-representation-learning-via-asymmetric | 35.05 | 60.10 |