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Found 2 papers, 2 papers with code
Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs
We show that our framework is more robust compared to traditional adversarial defense mechanisms such as adversarial training.
Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEs
We further demonstrate that while many existing Deep CNN based methods tend to be extremely vulnerable to adversarial attacks, R-PNODE exhibits increased adversarial robustness for a wide array of these attacks.
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