Doing Good by Fighting Fraud - Ethical Anti-Fraud Systems for Mobile Payments

Doing Good by Fighting Fraud - Ethical Anti-Fraud Systems for Mobile Payments

IEEE Symposium on Security and Privacy via YouTube Direct link

Intro

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1 of 19

Intro

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Doing Good by Fighting Fraud - Ethical Anti-Fraud Systems for Mobile Payments

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  1. 1 Intro
  2. 2 Payment Fraud
  3. 3 Apps take fraud seriously
  4. 4 Fraud and algorithmic bias
  5. 5 User-facing challenges to overcome algorithmic bias
  6. 6 Are user-facing challenges the silver bullet?
  7. 7 Daredevil to the rescue!!!
  8. 8 Outline
  9. 9 Goals of the Measurement Study
  10. 10 Measurement platform
  11. 11 Key Metrics
  12. 12 Frame rate vs Success rate
  13. 13 Need the data from the end-user
  14. 14 Algorithmic Fairness doesn't work here
  15. 15 ML model design - Key principles
  16. 16 System design - Key principles
  17. 17 Results: End-to-end fraud evaluation.
  18. 18 Results: Is fraud decision correlated with Frame rate?
  19. 19 Conclusions

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