, to see if you have full access to this publication.
Book Titles No access
Hacking Artificial Intelligence
A Leader's Guide from Deepfakes to Breaking Deep Learning- Authors:
- Publisher:
- 2022
Keywords
Search publication
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
- Contents No access
- Introduction No access Pages 1 - 10
- Chapter One A Brief Overview of Artificial Intelligence No access Pages 11 - 18
- Chapter Two How AI Is Different from Traditional Software No access Pages 19 - 24
- Chapter Three Data Bias No access Pages 25 - 40
- Chapter Four Hacking AI Systems No access Pages 41 - 48
- Chapter Five Evasion Attacks No access Pages 49 - 70
- Chapter Six Data Poisoning No access Pages 71 - 84
- Chapter Seven Model Inversion (“Privacy”) Attacks No access Pages 85 - 94
- Chapter Eight Obfuscation Attacks No access Pages 95 - 98
- Chapter Nine Talking to AI: Model Interpretability No access Pages 99 - 108
- Chapter Ten Machine versus Machine No access Pages 109 - 114
- Chapter Eleven Will Someone Hack My AI? No access Pages 115 - 128
- Chapter Twelve The Machine Told Us to Do It No access Pages 129 - 152
- Notes No access Pages 153 - 158
- Bibliography No access Pages 159 - 168
- Index No access Pages 169 - 178
- About the Author No access Pages 179 - 182





