Fraud Detection in Bitcoin Payment Networks

Explore fraud detection techniques in Bitcoin payment networks through this 37-minute conference talk by Soups Ranjan from Coinbase. Gain insights into Bitcoin's history, credit card fraud, and social media profiles as they relate to cryptocurrency fraud. Learn about machine learning approaches for fraud detection, including problem formulation, pipeline development, and model training. Discover the challenges of working with skewed data and the importance of context in fraud analysis. Examine visualization techniques, entity recognition, and deep learning applications in transaction monitoring. Engage with the audience Q&A session to further understand the complexities of fraud detection in the cryptocurrency space.

Intro
Ranjans background
Bitcoins history
Big Points
Product from Attention
Credit Card Fraud
Social media profiles
Flavors of fraud
Fraud detection using machine learning
Problem formulation
Pipeline
Models
Training Model
Fraud is Animating
Data skewed
Context diagram
Visualization
Fraud Detection
AP Tests
Deep Learning
Transactions
Entity Recognition
Audience
Question