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CEAS
2007
Springer
13 years 11 months ago
Learning Fast Classifiers for Image Spam
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...
Mark Dredze, Reuven Gevaryahu, Ari Elias-Bachrach
CEAS
2008
Springer
13 years 9 months ago
Exploiting Transport-Level Characteristics of Spam
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...
Robert Beverly, Karen R. Sollins
CEAS
2004
Springer
14 years 10 days ago
Reputation Network Analysis for Email Filtering
In addition to traditional spam detection applications, new methods of filtering messages – including whitelist and social network based filters – are being investigated to fur...
Jennifer Golbeck, James A. Hendler
CEAS
2007
Springer
14 years 1 months ago
Combining Global and Personal Anti-Spam Filtering
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 ...
Richard Segal
CEAS
2007
Springer
14 years 1 months ago
Asymmetric Gradient Boosting with Application to Spam Filtering
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...
Jingrui He, Bo Thiesson