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Cover Art
E-RESOURCE
Author Warr, Katy, author.

Title Strengthening Deep Neural Networks [electronic resource] / Warr, Katy.

Published O'Reilly Media, Inc., 2019.

Copies

Location Call No. Status
 UniM INTERNET resource    AVAILABLE
Edition 1st edition
Physical description 250 p.
Series Safari Books Online
Summary With Early Release ebooks, you get books in their earliest form—the author's raw and unedited content as he or she writes—so you can take advantage of these technologies long before the official release of these titles. 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
Reproduction Electronic reproduction. Boston, MA : Safari, Available via World Wide Web.
System notes Mode of access: World Wide Web.
NOTES Copyright © 2019 Katy Warr
Issuing body notes Made available through: Safari, an O’Reilly Media Company.
Other author Safari, an O’Reilly Media Company.
Subject Electronic books.
ISBN 9781492044956
9781492044956
Standard Number 9781492044949