GEOMETRIC AUGMENTATION FOR ROBUST NEURAL NETWORK CLASSIFIERS

no code implementations • ICLR 2019 • Robert M. Taylor, Yusong Tan

We introduce a novel geometric perspective and unsupervised model augmentation framework for transforming traditional deep (convolutional) neural networks into adversarially robust classifiers.

General Classification Time Series +1