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.