Adversarial Learning and Secure AI

By David J. Miller,Zhen Xiang,George Kesidis | Publisher: Cambridge University Press

About the book

Designed for upper undergraduate and graduate courses on adversarial learning and AI security, this textbook connects theory with practice using real-world examples, case studies, and hands-on student projects.

Editions of Adversarial Learning and Secure AI

Hardcover
ISBN 9781009315678

Read an Excerpt

Designed for upper undergraduate and graduate courses on adversarial learning and AI security, this textbook connects theory with practice using real-world examples, case studies, and hands-on student projects.

Frequently Asked Questions

What is Adversarial Learning and Secure AI about?

Designed for upper undergraduate and graduate courses on adversarial learning and AI security, this textbook connects theory with practice using real-world examples, case studies, and hands-on student projects.

What core themes, tropes, or subjects are explored in Adversarial Learning and Secure AI?

Computing and Information Technology > Computer networking and communications

Where can I read a sample of Adversarial Learning and Secure AI?

You can read an official preview of the few pages here https://www.book2look.com/book/9781009315678

How long is Adversarial Learning and Secure AI and how many pages does it have?

Adversarial Learning and Secure AI has 350 page(s)

Who is/are the Author/s of the book Adversarial Learning and Secure AI?

David J. Miller,Zhen Xiang,George Kesidis

Who is the Publisher of the book Adversarial Learning and Secure AI?

Cambridge University Press

What are the ISBN numbers for the physical and digital editions?

Adversarial Learning and Secure AI is available as hardcover(ISBN 9781009315678)

Where can I buy Adversarial Learning and Secure AI online or support local independent bookshops?

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Where can I buy Adversarial Learning and Secure AI?