A randomized smoothing wrapper certifies, per pixel, whether an attribution method's top-K importance ranking stays fixed under bounded input perturbations, with LRP and RISE coming out best in evaluation.
Convolutional dynamic alignment networks for interpretable classifications
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Pixel-level Certified Explanations via Randomized Smoothing
A randomized smoothing wrapper certifies, per pixel, whether an attribution method's top-K importance ranking stays fixed under bounded input perturbations, with LRP and RISE coming out best in evaluation.