Practical Defenses Against Adversarial Machine Learning

Practical Defenses Against Adversarial Machine Learning

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Research vs Deployment

3 of 25

3 of 25

Research vs Deployment

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Practical Defenses Against Adversarial Machine Learning

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  1. 1 Intro
  2. 2 Who am I
  3. 3 Research vs Deployment
  4. 4 Bad Inputs
  5. 5 Email Filtering
  6. 6 Transportation Prediction
  7. 7 Recommendation Engines
  8. 8 Trading Bots
  9. 9 Model Leakage
  10. 10 Block Lists
  11. 11 Multiple Signals
  12. 12 Raw Statistics
  13. 13 Conclusion
  14. 14 Recommendations
  15. 15 QA
  16. 16 Open Source Projects
  17. 17 Partial Homomorphic
  18. 18 Federated Learning
  19. 19 Incomplete Data
  20. 20 Contact
  21. 21 Vendor Examples
  22. 22 Deep Fakes vs Defects
  23. 23 Larger Models
  24. 24 Deep Fakes
  25. 25 Outro

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