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Hacking Artificial Intelligence

A Leader's Guide from Deepfakes to Breaking Deep Learning
Authors:
Publisher:
 2022

Keywords



Bibliographic data

Copyright year
2022
ISBN-Print
978-1-5381-5508-0
ISBN-Online
978-1-5381-5509-7
Publisher
Rowman & Littlefield, Lanham
Language
English
Pages
182
Product type
Book Titles

Table of contents

ChapterPages
    1. Contents No access
  1. Introduction No access Pages 1 - 10
  2. Chapter One A Brief Overview of Artificial Intelligence No access Pages 11 - 18
  3. Chapter Two How AI Is Different from Traditional Software No access Pages 19 - 24
  4. Chapter Three Data Bias No access Pages 25 - 40
  5. Chapter Four Hacking AI Systems No access Pages 41 - 48
  6. Chapter Five Evasion Attacks No access Pages 49 - 70
  7. Chapter Six Data Poisoning No access Pages 71 - 84
  8. Chapter Seven Model Inversion (“Privacy”) Attacks No access Pages 85 - 94
  9. Chapter Eight Obfuscation Attacks No access Pages 95 - 98
  10. Chapter Nine Talking to AI: Model Interpretability No access Pages 99 - 108
  11. Chapter Ten Machine versus Machine No access Pages 109 - 114
  12. Chapter Eleven Will Someone Hack My AI? No access Pages 115 - 128
  13. Chapter Twelve The Machine Told Us to Do It No access Pages 129 - 152
  14. Notes No access Pages 153 - 158
  15. Bibliography No access Pages 159 - 168
  16. Index No access Pages 169 - 178
  17. About the Author No access Pages 179 - 182

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