Adversarial perturbations based on gradient methods reduce brain tumor segmentation Dice scores by up to 65 percent, and defensive distillation outperforms adversarial training while all defenses still underperform on clean images.
Machine learning approaches in medical image analysis: From detection to diagnosis
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Robustifying deep networks for image segmentation
Adversarial perturbations based on gradient methods reduce brain tumor segmentation Dice scores by up to 65 percent, and defensive distillation outperforms adversarial training while all defenses still underperform on clean images.