ICASSP
2009
IEEE
13 years 2 months ago
2009
IEEE
Image spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters. In this paper, a framework for filtering image spam...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Image spam is an email spam that embeds text content into graphical images to bypass traditional spam filters. The majority of previous approaches focus on filtering image spam ...
CEAS
2008
Springer
13 years 7 months ago
2008
Springer
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...
CEAS
2007
Springer
13 years 9 months ago
2007
Springer
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...
ICIAP
2007
ACM
13 years 11 months ago
2007
ACM
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...
CEAS
2007
Springer
13 years 11 months ago
2007
Springer
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...
CEAS
2007
Springer
13 years 11 months ago
2007
Springer
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...
ADMA
2009
Springer
13 years 11 months ago
2009
Springer
Image spam is a new trend in the family of email spams. The new image spams employ a variety of image processing technologies to create random noises. In this paper, we propose a s...
WWW
2009
ACM
14 years 5 months ago
2009
ACM
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 ...