Non-Uniform Adversarially Robust Pruning

Qi Zhao, Tim Köonigl, Christian Wressnegger

Abstract: Neural networks often are highly redundant and can thus be effectively compressed to a fraction of their initial size using model pruning techniques without harming the overall prediction accuracy....