Adversarial Learning and Secure AI

Language: English

Published by Cambridge University Press Aug 2023, 2023

1009315676 / 9781009315678

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Neuware - Providing a logical framework for student learning, this is the first textbook on adversarial learning. It introduces vulnerabilities of deep learning, then demonstrates methods for defending against attacks and making AI generally more robust. To help students connect theory with practice, it explains and evaluates attack-and-defense scenarios alongside real-world examples. Feasible, hands-on student projects, which increase in difficulty throughout the book, give students practical experience and help to improve their Python and PyTorch skills. Book chapters conclude with questions that can be used for classroom discussions. In addition to deep neural networks, students will also learn about logistic regression, naïve Bayes classifiers, and support vector machines. Written for senior undergraduate and first-year graduate courses, the book offers a window into research methods and current challenges. Online resources include lecture slides and image files for instructors, and software for early course projects for students. …

Seller Inventory # 9781009315678

Title
Adversarial Learning and Secure AI
Author
David J Miller
Publisher
Cambridge University Press Aug 2023
Publication year
2023
Condition
Neu
Binding
Buch
Language
English
ISBN 10
1009315676
ISBN 13
9781009315678
Item weight
798 grams
Dimensions
244x170x22 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item7 to 10 business days5 to 7 business days
First item£ 30.14£ 38.75
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