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Strengthening Deep Neural Networks
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Strengthening Deep Neural Networks

Strengthening Deep Neural Networks

Katy Warr

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250 pages, parution le 30/08/2019
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Résumé

Deep neural networks (DNNs) are becoming more common in real-world applications, but the potential to "fool" them presents a new security loophole in software development. In this book, author Katy Warr examines several scenarios in which DNNs could be exploited in our daily lives.Deep neural networks (DNNs) are becoming more common in real-world applications, but the potential to "fool" them presents a new security loophole in software development. In this book, author Katy Warr examines several scenarios in which DNNs could be exploited in our daily lives. You'll learn about motivation attackers have for exploiting DNN technology and the risks your company faces if they succeed. Through practical code examples, this book shows you how DNNs are created and demonstrates the ways they can be hardened against exploitation. Learn where DNNs have potential for adoption and where they're currently being applied Understand how the technology can be improved to make DNNs more resilient to trickery Peer into the future of DNNs to learn how the technology as a whole may evolve

Katy Warr works at Roke Manor Research in the UK creating solutions for complex real-world problems. She specializes in AI and data analytics and leads the company's technical strategy in these areas. Previously she worked at IBM UK Laboratories, architecting and developing software for a variety of distributed enterprise products with an emphasis on transactional integrity and security.

Katy gained her degree in AI and Computer Science from the University of Edinburgh at a time when there was insufficient compute power and data available for deep learning to be much more than a theoretical pursuit. Fast forward a few years and she considers herself fortunate to witness this exciting field becoming mainstream.

Caractéristiques techniques

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Éditeur(s) O'Reilly
Auteur(s) Katy Warr
Parution 30/08/2019
Nb. de pages 250
EAN13 9781492044956

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