Countering Good Word Attacks on Statistical Spam Filters with Instance Differentiation and Multiple Instance Learning

Countering Good Word Attacks on Statistical Spam Filters with Instance Differentiation and Multiple Instance Learning
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Publisher :
Total Pages :
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ISBN-10 : 9537619036
ISBN-13 : 9789537619039
Rating : 4/5 (36 Downloads)

Book Synopsis Countering Good Word Attacks on Statistical Spam Filters with Instance Differentiation and Multiple Instance Learning by : Yan Zhou

Download or read book Countering Good Word Attacks on Statistical Spam Filters with Instance Differentiation and Multiple Instance Learning written by Yan Zhou and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: A multiple instance learning counterattack strategy for combating adversarial good word attacks on statistical spam filters has been presented. In the proposed strategy, e-mails are treated as multiple instance bags and a logistic model at the instance level is learned indirectly by maximizing the bag-level binomial log-likelihood function. The proposed counterattack strategy has been demonstrated on good word attacks of varying strength and has been shown to be effective. Additionally, we have confirmed earlier reports that.


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