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