45 search results - page 1 / 9 » On Attacking Statistical Spam Filters |
CEAS
2005
Springer
13 years 10 months ago
2005
Springer
Unsolicited commercial email is a significant problem for users and providers of email services. While statistical spam filters have proven useful, senders of spam are learning ...
NSDI
2008
13 years 7 months ago
2008
Using statistical machine learning for making security decisions introduces new vulnerabilities in large scale systems. This paper shows how an adversary can exploit statistical m...
CEAS
2004
Springer
13 years 10 months ago
2004
Springer
The efforts of anti-spammers and spammers has often been described as an arms race. As we devise new ways to stem the flood of bulk mail, spammers respond by working their way ar...
ICTAI
2007
IEEE
13 years 11 months ago
2007
IEEE
WEBI
2007
Springer
13 years 11 months ago
2007
Springer
The volume of spam e-mails has grown rapidly in the last two years resulting in increasing costs to users, network operators, and e-mail service providers (ESPs). E-mail users dem...