Machine-learning models are known to be vulnerable to evasion attacks th...
Recently, Graph Neural Networks (GNNs) have been applied for scheduling ...
Minimal adversarial perturbations added to inputs have been shown to be
...
Motivated by the transformative impact of deep neural networks (DNNs) on...
This paper proposes a new defense called n-ML against adversarial exampl...
Much research effort has been devoted to better understanding adversaria...
In this paper we show that misclassification attacks against face-recogn...