Details

Title: Hacking artificial intelligence: a leader's guide from deepfakes to breaking deep learning
Creators: Gibian Davey
Collection: Электронные книги зарубежных издательств; Общая коллекция
Subjects: Artificial intelligence.; Information storage and retrieval systems — Risk management.; Information technology — Management.; Data privacy.; Data protection.; Artificial Intelligence; Intelligence artificielle.; Systèmes d'information — Gestion du risque.; Technologie de l'information — Gestion.; Protection de l'information (Informatique); EBSCO eBooks
Document type: Other
File type: PDF
Language: English
Rights: Доступ по паролю из сети Интернет (чтение, печать, копирование)
Record key: on1300754914

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Group: Anonymous

Network: Internet

Annotation

"The ability to hack AI and the technology industry's lack of effort to secure it is thought by experts to be the biggest unaddressed technology issue of our time. This book sheds light on the many hacking risks, encouraging readers to address problems before they become catastrophic"--.

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Table of Contents

  • Contents
  • Introduction
  • Chapter One A Brief Overview of Artificial Intelligence
  • Chapter Two How AI Is Different from Traditional Software
  • Chapter Three Data Bias
  • Chapter Four Hacking AI Systems
  • Chapter Five Evasion Attacks
  • Chapter Six Data Poisoning
  • Chapter Seven Model Inversion (“Privacy”) Attacks
  • Chapter Eight Obfuscation Attacks
  • Chapter Nine Talking to AI: Model Interpretability
  • Chapter Ten Machine versus Machine
  • Chapter Eleven Will Someone Hack My AI?
  • Chapter Twelve The Machine Told Us to Do It
  • Notes
  • Bibliography
  • Index
  • About the Author

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