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» An Open Digest-based Technique for Spam Detection
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ISCAPDCS
2004
13 years 6 months ago
An Open Digest-based Technique for Spam Detection
A promising anti-spam technique consists in collecting users opinions that given email messages are spam and using this collective judgment to block message propagation to other u...
Ernesto Damiani, Sabrina De Capitani di Vimercati,...
USENIX
2003
13 years 6 months ago
Learning Spam: Simple Techniques For Freely-Available Software
The problem of automatically filtering out spam e-mail using a classifier based on machine learning methods is of great recent interest. This paper gives an introduction to mach...
Bart Massey, Mick Thomure, Raya Budrevich, Scott L...
SIGSOFT
2007
ACM
14 years 5 months ago
Training on errors experiment to detect fault-prone software modules by spam filter
The fault-prone module detection in source code is of importance for assurance of software quality. Most of previous fault-prone detection approaches are based on software metrics...
Osamu Mizuno, Tohru Kikuno
CCS
2006
ACM
13 years 8 months ago
Can machine learning be secure?
Machine learning systems offer unparalled flexibility in dealing with evolving input in a variety of applications, such as intrusion detection systems and spam e-mail filtering. H...
Marco Barreno, Blaine Nelson, Russell Sears, Antho...