Adversarial Defense On Imagenet Targeted Pgd
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
Model Name | Accuracy |
---|---|
feature-denoising-for-improving-adversarial | 42.8 |
feature-denoising-for-improving-adversarial | 39.0 |
feature-denoising-for-improving-adversarial | 40.4 |