One of the greatest technological advancements of the 21st century has been the rise of machine learning. This thriving field of research already has a great im

As deep neural networks (DNNs) become increasingly common in real-world applications, the potential to deliberately "fool" them with data that wouldn’t trick

In this thesis, our goal is to develop robust and reliable yet accurate learning models, particularly Convolutional Neural Networks (CNNs), in the presence of a

The development of “intelligent” systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting fac

Deep neural networks are widely used in signal processing from a broad range of areas due to their good performances, including computer vision, natural languag