Hacking artificial intelligence a leader's guide from deepfakes to breaking deep learning

Hacking artificial intelligence a leader's guide from deepfakes to breaking deep learning

"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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Bibliographic Details
Main Author: Gibian, Davey, 1988-
Format: eBook
Language:English
Published: Lanham Rowman & Littlefield, [2022]
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)
artificial intelligence.
EBSCO eBooks
Electronic books.
Online Access:EBSCOhost
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Table of Contents:
  • Introduction: Hacking facial recognition
  • A brief overview of artificial intelligence
  • How AI is different from traditional software
  • Data bias
  • Hacking AI systems
  • Evasion attacks
  • Data poisoning
  • Model inversion ("privacy") attacks
  • Obfuscation attacks
  • Talking to AI : model interpretability
  • Machine vs. machine
  • Will someone hack my AI?
  • The machine told us to do it.

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