UMBC ebiquity research group Building intelligent systems in open, heterogeneous, dynamic, distributed environments
12 October 2008, 15:39:16 EDT  
Adversarial Classification

Adversarial Classification

mayfield, 1:00pm 14 February 2006

Taint suggests that blog spam identification should be thought of not as classification but as adversarial classification:

In other words, he is noting what we noticed in email anti-spam; that what works well one year, is likely to degrade over time as the spammers attempt to evade it, and one has to keep working to keep up. The best term for this appears to be adversarial classification. Anti-spam activities fall into this category, and it often means that classic text classification algorithms aren’t suitable — after all, the Reuters-21578 dataset never tried to evade your classifier ;)

Leave a Reply






UMBC