Spam and Phishing
A study of text classification in an adversarial domain
One of the most interesting features of the Spam and Phishing domains is their adversarial nature. This creates many problems for statistical filters (Bayesian and others), keywords filters and other traditional approaches to filtering email.
In this talk, I will highlight some of the problems for both filters
and
people at this classification task. I will present results on the
difficulty people have with discriminating between phishing and
legitimate email. I will examine statistical approaches which overcome
some of these obstacles.
|
Date: Wednesday, October 27, 2004 |
Time: 4:15-5:30PM |
Place: Gates 104 |
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