Abstract: Deep Neural Networks (DNNs) have recently made significant strides in various fields; however, they are susceptible to adversarial examples—crafted inputs with imperceptible perturbations ...

Abstract: Notwithstanding the tremendous success of deep neural networks in a range of realms, previous studies have shown that these learning models are exposed to an inherent hazard called ...

Neal has more than 20 years of experience in financial and business journalism covering retail investing, airlines, pharmaceuticals, healthcare, sustainability, technology, and retail. He has worked ...