Google Research

The War Against Spam: A report from the front line

NIPS 2007 Workshop on Machine Learning in Adversarial Environments for Computer Security


Fighting spam is a success story of real-world machine learning. Despite the occasional spam that does reach our inboxes, the overwhelming majority of spam — and there is a lot of it — is positively identified. At the same time, the rarity with which users feel the need to check their spam box for false positives demonstrates a high precision of classification. This paper is an overview of Google’s approach to fighting email abuse with machine learning, and a discussion of some lessons learned.

Research Areas

Learn more about how we do research

We maintain a portfolio of research projects, providing individuals and teams the freedom to emphasize specific types of work