Regularizing convolutional NODE weights to promote contractivity improves robustness to noise and adversarial attacks by up to 34 percentage points.
Robust- ness against adversarial attacks in neural networks using incremental dissipativity,
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Robust Convolution Neural ODEs via Contractivity-promoting regularization
Regularizing convolutional NODE weights to promote contractivity improves robustness to noise and adversarial attacks by up to 34 percentage points.