Adversarial Defense On Imagenet Non Targeted
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Accuracy | Paper Title | Repository |
|---|---|---|---|
| ResNet-152 free-m=4 | 36.0% | Adversarial Training for Free! | |
| ResNet-101 free-m=4 | 34.3% | Adversarial Training for Free! | |
| LLR-ResNet-152 | 47.0% | Adversarial Robustness through Local Linearization | - |
| SAT-EfficientNet-L1 | 58.6% | Smooth Adversarial Training | |
| ResNet-50 free-m=4 | 31.8% | Adversarial Training for Free! |
0 of 5 row(s) selected.