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» On Attacking Statistical Spam Filters
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CEAS
2007
Springer
14 years 1 months ago
Combining Global and Personal Anti-Spam Filtering
Many of the first successful applications of statistical learning to anti-spam filtering were personalized classifiers that were trained on an individual user’s spam and ham ...
Richard Segal
PRDC
2005
IEEE
14 years 1 months ago
A Multi-Faceted Approach towards Spam-Resistible Mail
As checking SPAM became part of our daily life, unsolicited bulk e-mails (UBE) have become unmanageable and intolerable. Bulk volume of spam e-mails delivering to mail transfer ag...
Ming-Wei Wu, Yennun Huang, Shyue-Kung Lu, Ing-Yi C...
PKDD
2004
Springer
168views Data Mining» more  PKDD 2004»
14 years 1 months ago
Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering
Spam filtering is a text categorization task that has attracted significant attention due to the increasingly huge amounts of junk email on the Internet. While current best-pract...
Christian Siefkes, Fidelis Assis, Shalendra Chhabr...
EACL
2003
ACL Anthology
13 years 9 months ago
A Comparison of Event Models for Naive Bayes Anti-Spam E-Mail Filtering
We describe experiments with a Naive Bayes text classifier in the context of anti-spam E-mail filtering, using two different statistical event models: a multi-variate Bernoulli ...
Karl-Michael Schneider
KDD
2005
ACM
158views Data Mining» more  KDD 2005»
14 years 8 months ago
Adversarial learning
Many classification tasks, such as spam filtering, intrusion detection, and terrorism detection, are complicated by an adversary who wishes to avoid detection. Previous work on ad...
Daniel Lowd, Christopher Meek