JARVIS Never Saw It Coming - Hacking Machine Learning in Speech, Text and Face Recognition

JARVIS Never Saw It Coming - Hacking Machine Learning in Speech, Text and Face Recognition

44CON Information Security Conference via YouTube Direct link

INTELLIGENT SYSTEM

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5 of 22

INTELLIGENT SYSTEM

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JARVIS Never Saw It Coming - Hacking Machine Learning in Speech, Text and Face Recognition

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  1. 1 Intro
  2. 2 HOW DID WE GET HERE?
  3. 3 CLEVER HANS
  4. 4 ARTIFICIAL INTELLIGENCE?
  5. 5 INTELLIGENT SYSTEM
  6. 6 WHAT IS A ML MODEL?
  7. 7 CODE POINT OF VIEW
  8. 8 FROM TRAINING TO INFERENCE
  9. 9 BIAS - SOLVING THE WRONG PROBLEM
  10. 10 TOP 5 ATTACKS (CVSS)
  11. 11 TOP 5 ATTACKS (BUSINESS IMPACT)
  12. 12 WHERE TO ATTACK?
  13. 13 PRELIMINARY RESULTS
  14. 14 ATTACK OF THE CLONES
  15. 15 BACKDOORS
  16. 16 ENCODING
  17. 17 MISS-PREDICTIONS (ADVERSARIAL ATTACKS)
  18. 18 TURTLE OR A RIFLE?
  19. 19 ADVERSARIAL AUDIO
  20. 20 EVADING NEXT GENERATION AV USING AI
  21. 21 ACKNOWLEDGMENTS
  22. 22 REFERENCES

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