Fraud De-Anonymization for Fun and Profit

Explore a conference talk that delves into the persistent issue of search rank fraud in online peer-opinion systems and introduces a novel approach to combat it. Learn about the inefficiencies of current fraud detection methods and discover how deep learning techniques can be applied to de-anonymize fraud. Examine the concept of multi-worker validation and review test results that demonstrate the effectiveness of this new strategy. Gain insights into the Froster Discovery process and understand how this innovative solution aims to revolutionize fraud prevention in crowdsourcing environments.

Intro
Problem Statement
Solution
Concept
Deep Learning
Multi Worker
Validation
Test Results
Summary
Froster Discovery