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CEAS
2008
Springer
13 years 9 months ago
Personalized Spam Filtering for Gray Mail
Gray mail, messages that could reasonably be considered either spam or good by different email users, is a commonly observed issue in production spam filtering systems. In this pa...
Ming-Wei Chang, Scott Yih, Robert McCann
CEAS
2008
Springer
13 years 9 months ago
Detecting Known and New Salting Tricks in Unwanted Emails
Spam and phishing emails are not only annoying to users, but are a real threat to internet communication and web economy. The fight against unwanted emails has become a cat-and-mo...
André Bergholz, Gerhard Paass, Frank Reicha...
CEAS
2008
Springer
13 years 9 months ago
Improving Image Spam Filtering Using Image Text Features
In this paper we consider the approach to image spam filtering based on using image classifiers aimed at discriminating between ham and spam images, previously proposed by other a...
Giorgio Fumera, Fabio Roli, Battista Biggio, Ignaz...
CHI
2009
ACM
14 years 1 months ago
Awareness, training and trust in interaction with adaptive spam filters
Even though adaptive (trainable) spam filters are a common example of systems that make (semi-)autonomous decisions on behalf of the user, trust in these filters has been underexp...
Henriette S. M. Cramer, Vanessa Evers, Maarten van...
ICIP
2005
IEEE
14 years 8 months ago
Using visual features for anti-spam filtering
Unsolicited Commercial Email (UCE), also known as spam, has been a major problem on the Internet. In the past, researchers have addressed this problem as a text classification or ...
Ching-Tung Wu, Kwang-Ting Cheng, Qiang Zhu, Yi-Leh...