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Strengthening Deep Neural Networks (Making AI Less Susceptible to Adversarial Trickery)

List Price: $69.99
SKU:
9781492044956
Quantity:
  • Prices shown are for Bulk Books (unbranded)
  • Minimum to Customize Books: 50 copies

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

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  • Cover Imprint (1-color): $1.00/book
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Call for higher quantities. Standard turnaround for Customized Books 10 business days from proof approval. Standard turnaround for Bulk Books 3-5 business days. Rush service available. Product availability changes daily. Please confirm your quantity is available prior to placing an order. Customization options may be limited or unavailable based on product design, binding or cover artwork.

  • Product Details

    Author:
    Katy Warr
    Format:
    Paperback
    Pages:
    246
    Publisher:
    O'Reilly Media (September 4, 2019)
    Language:
    English
    ISBN-13:
    9781492044956
    ISBN-10:
    1492044954
    Dimensions:
    7" x 9.19"
    Case Pack:
    20
    File:
    IPS-Ingram_Publisher_Services_Metadata_20190712153139-20190712.xml
    Folder:
    IPS
    List Price:
    $69.99
    As low as:
    $51.79
    Publisher Identifier:
    P-IPS
    Discount Code:
    B
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