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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 10 months ago
Filtering Image Spam with Near-Duplicate Detection
A new trend in email spam is the emergence of image spam. Although current anti-spam technologies are quite successful in filtering text-based spam emails, the new image spams ar...
Zhe Wang, William K. Josephson, Qin Lv, Moses Char...
DASFAA
2007
IEEE
143views Database» more  DASFAA 2007»
13 years 11 months ago
Using Redundant Bit Vectors for Near-Duplicate Image Detection
Images are amongst the most widely proliferated form of digital information due to affordable imaging technologies and the Web. In such an environment, the use of digital watermar...
Jun Jie Foo, Ranjan Sinha
ICIAP
2007
ACM
13 years 10 months ago
Image Spam Filtering Using Visual Information
We address the problem of recognizing the so-called image spam, which consists in embedding the spam message into attached images to defeat techniques based on the analysis of e-m...
Battista Biggio, Giorgio Fumera, Ignazio Pillai, F...
WWW
2009
ACM
14 years 5 months ago
Detecting image spam using local invariant features and pyramid match kernel
Image spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters. In this paper, we extract local invariant features ...
Haiqiang Zuo, Weiming Hu, Ou Wu, Yunfei Chen, Guan...