Arash Rahnama

Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory

Deep neural networks (DNNs) are vulnerable to subtle adversarial perturbations applied to the input. These adversarial perturbations, though imperceptible, can easily mislead the DNN. In this work, we take a control theoretic approach to the problem of robustness in DNNs. We treat each individual la…