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» On Attacking Statistical Spam Filters
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COLCOM
2005
IEEE
13 years 11 months ago
An experimental evaluation of spam filter performance and robustness against attack
— In this paper, we show experimentally that learning filters are able to classify large corpora of spam and legitimate email messages with a high degree of accuracy. The corpor...
Steve Webb, Subramanyam Chitti, Calton Pu
CCS
2006
ACM
13 years 9 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...
ASUNAM
2009
IEEE
13 years 10 months ago
Filtering Spam in Social Tagging System with Dynamic Behavior Analysis
—Spam in social tagging systems introduced by some malicious participants has become a serious problem for its global popularizing. Some studies which can be deduced to static us...
Bo Liu, Ennan Zhai, Huiping Sun, Yelu Chen, Zhong ...
ICTAI
2007
IEEE
13 years 11 months ago
Automatic Personalized Spam Filtering through Significant Word Modeling
Typically, spam filters are built on the assumption that the characteristics of e-mails in the training set is identical to those in individual users’ inboxes on which it will b...
Khurum Nazir Junejo, Asim Karim
JMLR
2006
125views more  JMLR 2006»
13 years 5 months ago
Spam Filtering Using Statistical Data Compression Models
Spam filtering poses a special problem in text categorization, of which the defining characteristic is that filters face an active adversary, which constantly attempts to evade fi...
Andrej Bratko, Gordon V. Cormack, Bogdan Filipic, ...