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AI, Machine Learning and Deep Learning 9781032034041.pdf
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AI, Machine Learning and Deep Learning 9781032034041
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AI, Machine Learning and Deep Learning
Today, articial intelligence (AI) and machine/ deep learning (ML/ DL) have become the hottest areas in
information technology. In our society, many intelligent devices rely on AI/ ML/ DL algorithms/ tools for
smart operation. Although AI/ ML/ DL algorithms/ tools have been used in many internet applications and
electronic devices, they are also vulnerable to various attacks and threats. AI parameters may be distorted
by the internal attacker; the DL input samples may be polluted by adversaries; the ML model may be
misled by changing the classication boundary, among many other attacks/ threats. Such attacks can make
AI products dangerous to use.
While this discussion focuses on security issues in AI/ ML/ DL- based systems (i.e., securing the intelligent
systems themselves), AI/ ML/ DL models/ algorithms can actually also be used for cyber security (i.e., use
of AI to achieve security).
Since AI/ ML/ DL security is a newly emergent eld, many researchers and industry people cannot yet
obtain a detailed, comprehensive understanding of this area. This book aims to provide a complete picture
of the challenges and solutions to related security issues in various applications. It explains how different
attacks can occur in advanced AI tools and the challenges of overcoming those attacks. Then, the book
describes many sets of promising solutions to achieve AI security and privacy. The features of this book
have seven aspects:
1. This is the rst book to explain various practical attacks and countermeasures to AI systems.
2. Both quantitative math models and practical security implementations are provided.
3. It covers both “securing the AI system itself” and “using AI to achieve security.”
4. It covers all the advanced AI attacks and threats with detailed attack models.
5. It provides multiple solution spaces to the security and privacy issues in AI tools.
6. The differences among ML and DL security/ privacy issues are explained.
7. Many practical security applications are covered.
AI, Machine Learning and
Deep Learning
A Security Perspective
Edited By
Fei Hu and Xiali Hei
First edition published 2023
by CRC Press
6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487- 2742
and by CRC Press
4 Park Square, Milton Park, Abingdon, Oxon, OX14 4RN
© 2023 selection and editorial matter, Fei Hu and Xiali Hei; individual chapters, the contributors
CRC Press is an imprint of Taylor & Francis Group, LLC
Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility
for the validity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright
holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not
been obtained. If any copyright material has not been acknowledged please write and let us know so we may rectify in any future
reprint.
Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or utilized in any
form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microlming, and
recording, or in any information storage or retrieval system, without written permission from the publishers.
For permission to photocopy or use material electronically from this work, access www.copyri ght.com or contact the Copyright
Clearance Center, Inc. (CCC), 222 Rosewood Drive, Danvers, MA 01923, 978- 750- 8400. For works that are not available on CCC
please contact mpkbookspermissions@tandf.co.uk
Trademark notice: Product or corporate names may be trademarks or registered trademarks and are used only for identication and
explanation without intent to infringe.
Library of Congress Cataloging- in- Publication Data
Names: Hu, Fei, 1972– editor. | Hei, Xiali, editor.
Title: AI, machine learning and deep learning : a security perspective / edited by Fei Hu and Xiali Hei.
Description: First edition. | Boca Raton : CRC Press, 2023. |
Includes bibliographical references and index.
Identiers: LCCN 2022055385 (print) | LCCN 2022055386 (ebook) |
ISBN 9781032034041 (hardback) | ISBN 9781032034058 (paperback) |
ISBN 9781003187158 (ebook)
Subjects: LCSH: Computer networks–Security measures. |
Machine learning–Security measures. | Deep learning (Machine learning)–Security measures. |
Computer security–Data processing. | Articial intelligence.
Classication: LCC TK5105.59 .A39175 2023 (print) |
LCC TK5105.59 (ebook) | DDC 006.3/1028563–dc23/eng/20221223
LC record available at https://lccn.loc.gov/2022055385
LC ebook record available at https://lccn.loc.gov/2022055386
ISBN: 9781032034041 (hbk)
ISBN: 9781032034058 (pbk)
ISBN: 9781003187158 (ebk)
DOI: 10.1201/ 9781003187158
Typeset in Times
by Newgen Publishing UK
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