Overview
As Deep Neural Networks (DNNs) become increasingly common in real-world applications, the potential to "fool" them presents a new attack vector. In this book, author Katy Warr examines the security implications of how DNNs interpret audio and images very differently to humans.
You’ll learn about the motivations attackers have for exploiting flaws in DNN algorithms and how to assess the threat to systems incorporating neural network technology. Through practical code examples, this book shows you how DNNs can be fooled and demonstrates the ways they can be hardened against trickery.
- Learn the basic principles of how DNNs "think" and why this differs from our human understanding of the world
- Understand adversarial motivations for fooling DNNs and the threat posed to real-world systems
- Explore approaches for making software systems that incorporate DNNs less susceptible to trickery
- Peer into the future of Artificial Neural Networks to learn how these algorithms may evolve to become more robust
This book title, Strengthening Deep Neural Networks (Making AI Less Susceptible to Adversarial Trickery), ISBN: 9781492044956, by Katy Warr, published by O'Reilly Media (September 4, 2019) is available in paperback. Our minimum order quantity is 25 copies. All standard bulk book orders ship FREE in the continental USA and delivered in 4-10 business days.
Unlike Amazon and other retailers who may also offer Strengthening Deep Neural Networks (Making AI Less Susceptible to Adversarial Trickery) books on their website, we specialize in large quantities and provide personal service, from trusted, experienced, friendly people in Portland, Oregon. We offer a Price Match Guarantee, and QuickQuote form, to make purchasing quick and easy.
Prefer to work with a human being when you order Strengthening Deep Neural Networks (Making AI Less Susceptible to Adversarial Trickery) books in bulk? Our Book Specialists are standing by Monday-Friday 8-5 PST, ready to help!