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» Improving Image Spam Filtering Using Image Text Features
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JMLR
2006
147views more  JMLR 2006»
13 years 4 months ago
Spam Filtering Based On The Analysis Of Text Information Embedded Into Images
In recent years anti-spam filters have become necessary tools for Internet service providers to face up to the continuously growing spam phenomenon. Current server-side anti-spam ...
Giorgio Fumera, Ignazio Pillai, Fabio Roli
WWW
2008
ACM
14 years 5 months ago
Detecting image spam using visual features and near duplicate detection
Email spam is a much studied topic, but even though current email spam detecting software has been gaining a competitive edge against text based email spam, new advances in spam g...
Bhaskar Mehta, Saurabh Nangia, Manish Gupta 0002, ...
CEAS
2007
Springer
13 years 8 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
2007
Springer
13 years 11 months ago
Image Spam Filtering by Content Obscuring Detection
We address the problem of filtering image spam, a rapidly spreading kind of spam in which the text message is embedded into attached images to defeat spam filtering techniques b...
Battista Biggio, Giorgio Fumera, Ignazio Pillai, F...
ICIP
2005
IEEE
14 years 6 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...