Command Palette
Search for a command to run...
Adversarial Robustness On Cifar 100
Metrics
AutoAttacked Accuracy
Clean Accuracy
Results
Performance results of various models on this benchmark
| Paper Title | Repository | |||
|---|---|---|---|---|
| Mixed Classifier | 38.72 | 85.21 | Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing | |
| ResNet18/MART-ANCRA | 35.05 | 60.10 | Enhancing Robust Representation in Adversarial Training: Alignment and Exclusion Criteria |
0 of 2 row(s) selected.