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

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

Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning—e

This study allows readers to get to grips with the conceptual tools and practical techniques for building robust machine learning in the face of adversaries.

A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architectures Key FeaturesUnderstand linear alge