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Viser: Strengthening Deep Neural Networks - Making AI Less Susceptible to Adversarial Trickery

Strengthening Deep Neural Networks, 1. udgave
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Strengthening Deep Neural Networks Vital Source e-bog

Katy Warr
(2019)
O'Reilly Media, Inc
656,00 kr.
Leveres umiddelbart efter køb
Strengthening Deep Neural Networks - Making AI Less Susceptible to Adversarial Trickery

Strengthening Deep Neural Networks

Making AI Less Susceptible to Adversarial Trickery
Katy Warr
(2019)
Sprog: Engelsk
O'Reilly Media, Incorporated
634,00 kr.
ikke på lager, Bestil nu og få den leveret
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Detaljer om varen

  • 1. Udgave
  • Vital Source searchable e-book (Reflowable pages)
  • Udgiver: O'Reilly Media, Inc (Juli 2019)
  • ISBN: 9781492044901
As deep neural networks (DNNs) become increasingly common in real-world applications, the potential to deliberately "fool" them with data that wouldn’t trick a human presents a new attack vector. This practical book examines real-world scenarios where DNNs—the algorithms intrinsic to much of AI—are used daily to process image, audio, and video data. Author Katy Warr considers attack motivations, the risks posed by this adversarial input, and methods for increasing AI robustness to these attacks. If you’re a data scientist developing DNN algorithms, a security architect interested in how to make AI systems more resilient to attack, or someone fascinated by the differences between artificial and biological perception, this book is for you. Delve into DNNs and discover how they could be tricked by adversarial input Investigate methods used to generate adversarial input capable of fooling DNNs Explore real-world scenarios and model the adversarial threat Evaluate neural network robustness; learn methods to increase resilience of AI systems to adversarial data Examine some ways in which AI might become better at mimicking human perception in years to come
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Detaljer om varen

  • Paperback: 246 sider
  • Udgiver: O'Reilly Media, Incorporated (August 2019)
  • ISBN: 9781492044956

As deep neural networks (DNNs) become increasingly common in real-world applications, the potential to deliberately "fool" them with data that wouldn't trick a human presents a new attack vector. This practical book examines real-world scenarios where DNNs--the algorithms intrinsic to much of AI--are used daily to process image, audio, and video data.

Author Katy Warr considers attack motivations, the risks posed by this adversarial input, and methods for increasing AI robustness to these attacks. If you're a data scientist developing DNN algorithms, a security architect interested in how to make AI systems more resilient to attack, or someone fascinated by the differences between artificial and biological perception, this book is for you.

  • Delve into DNNs and discover how they could be tricked by adversarial input
  • Investigate methods used to generate adversarial input capable of fooling DNNs
  • Explore real-world scenarios and model the adversarial threat
  • Evaluate neural network robustness; learn methods to increase resilience of AI systems to adversarial data
  • Examine some ways in which AI might become better at mimicking human perception in years to come
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