Pitfalls of Using ML for Fighting Online Abuse | David Freeman

Описание: Fighting fake registrations, phishing, spam and other types of abuse on the consumer web is anything but a textbook process. In this talk, David Freeman, Research Engineer at Facebook, explains how machine learning is typically used to solve abuse problems, discusses challenges that arise, and describes some approaches that can be implemented to produce robust, scalable systems.

David Freeman is a data scientist/engineer/researcher with a background in cryptography and a passion for using math and statistics to keep the Internet safe. He recently joined Facebook to work on spam and abuse problems. Before that he led Anti-Abuse engineering and relevance teams at LinkedIn. Problems he’s interested in include: fake & compromised accounts; impersonation; spam; fraud; bot detection.

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