2018
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
ICLR 2018oral
Deep Neural Networks (DNNs) have recently been shown to be vulnerable against adversarial examples, which are carefully crafted instances that can mislead DNNs to make errors during prediction. To better understand such attacks, a characterization is needed of the properties of regions (the so-calle…