Recently, spammers have proliferated "image spam", emails which contain the text of the spam message in a human readable image instead of the message body, making detect...
We present a novel spam detection technique that relies on neither content nor reputation analysis. This work investigates the discriminatory power of email transport-layer charac...
In addition to traditional spam detection applications, new methods of filtering messages – including whitelist and social network based filters – are being investigated to fur...
Many of the first successful applications of statistical learning to anti-spam filtering were personalized classifiers that were trained on an individual user’s spam and ham ...
In this paper, we propose a new asymmetric boosting method, Boosting with Different Costs. Traditional boosting methods assume the same cost for misclassified instances from di...