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IWSPA 2017 : 3rd International Workshop on Security and Privacy Analytics

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Link: http://capex.cs.uh.edu/?q=content/international-workshop-security-and-privacy-analytics-2017
 
When Mar 24, 2016 - Mar 24, 2016
Where Scottsdale, AZ
Submission Deadline Dec 16, 2016
Notification Due Jan 9, 2017
Final Version Due Jan 24, 2017
Categories    security analytics   natural language processing   machine learning   privacy
 

Call For Papers

Increasingly, sophisticated techniques from machine learning, data mining, statistics and natural language processing are being applied to challenges in security and privacy fields. However, experts from these areas have no medium where they can meet and exchange ideas so that strong collaborations can emerge, and cross-fertilization of these areas can occur. Moreover, current courses and curricula in security do not sufficiently emphasize background in these areas and students in security and privacy are not emerging with deep knowledge of these topics. Hence, we propose a workshop that will address the research and development efforts in which analytical techniques from machine learning, data mining, natural language processing and statistics are applied to solve security and privacy challenges (“security analytics”). Submissions of papers related to methodology, design, techniques and new directions for security and privacy that make significant use of machine learning, data mining, statistics or natural language processing are welcome. Furthermore, submissions on educational topics and systems in the field of security analytics are also highly encouraged.

Papers must be at most 8 pages in length total and use the ACM CODASPY template. All submissions must describe original research, not published nor currently under review for another workshop, conference, or journal.Submission implies the willingness of at least one author to attend the workshop and present the paper. A limited number of high-quality submissions may be selected for publication in a special issue of a journal. All papers must be submitted electronically via the Easychair system.

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