Closed captioning will be available in English and Japanese for all keynotes and RSAC track sessions.
Please note: All times are in SGT.
  1. Moscone West

While machine learning is integral to innumerable anti-abuse systems including spam and phishing detection, the road to reap its benefits is paved with numerous abuse-specific challenges. Drawing from concrete examples this session will discuss how these challenges are addressed at Google and provide a roadmap to anyone interested in applying machine learning to fraud and abuse problems.

Learning Objectives:
1: Learn how machine learning helps combat fraud and abuse.
2: Discover how to overcome challenges faced when using machine learning to anti-abuse.
3: Understand what the unsolved challenges are in the space. Link to presentation: