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JARVIS Never Saw It Coming - Hacking Machine Learning in Speech, Text and Face Recognition
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- 1 Intro
- 2 HOW DID WE GET HERE?
- 3 CLEVER HANS
- 4 ARTIFICIAL INTELLIGENCE?
- 5 INTELLIGENT SYSTEM
- 6 WHAT IS A ML MODEL?
- 7 CODE POINT OF VIEW
- 8 FROM TRAINING TO INFERENCE
- 9 BIAS - SOLVING THE WRONG PROBLEM
- 10 TOP 5 ATTACKS (CVSS)
- 11 TOP 5 ATTACKS (BUSINESS IMPACT)
- 12 WHERE TO ATTACK?
- 13 PRELIMINARY RESULTS
- 14 ATTACK OF THE CLONES
- 15 BACKDOORS
- 16 ENCODING
- 17 MISS-PREDICTIONS (ADVERSARIAL ATTACKS)
- 18 TURTLE OR A RIFLE?
- 19 ADVERSARIAL AUDIO
- 20 EVADING NEXT GENERATION AV USING AI
- 21 ACKNOWLEDGMENTS
- 22 REFERENCES
