Before revision: DNNs are known to be vulnerable to so-called adversarial attacks , in which inputs are carefully manipulated to induce misclassification.
After revision: Deep Neural Networks (DNNs) are employed in an increasing number of applications, some of which are safety critical. Unfortunately, DNNs are known to be vulnerable to so-called adversarial attacks , in which inputs are carefully manipulated to induce misclassification.