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200 10$aIWSPA'18 $eproceedings of the Fourth ACM International Workshop on Security and Privacy Analytics : March 21, 2018, Tempe, AZ, USA /$fRakesh Verma, Murat Kantarcioglu
210  1$aNew York :$cACM,$d2018.
215   $a1 online resource (64 pages)
311   $a1-4503-5634-6 
330   $aIt is our great pleasure to welcome you to the 2018 ACM International Workshop on Security and Privacy Analytics - IWSPA '18. This year's workshop is the fourth in the series and continues the tradition of being the premier forum for presentation of research results and experience reports on leading edge issues and applications/adaptations of data analytics (by which we mean techniques drawn from data mining, machine learning, statistics and natural language processing) to security challenges. Use of data analytics also has implications on privacy. Because of these reasons, the first three international workshops on security and privacy analytics were organized in 2015, 2016 and 2017. The mission of IWSPA is to create a forum for interaction between data analytics and security/privacy experts and to examine the questions raised in the previous workshops. The call for papers attracted 11 submissions from Asia, Europe, and North America (one was withdrawn before review). Each paper was assigned to at least three program committee members for review, a total of 29 reviews were obtained with no paper having fewer than two reviews. The quality of the submissions was very high this year. Consequently, four papers were accepted for presentation as full papers (11-page limit) and three were accepted as short papers (7-page limit). We also encourage attendees to attend the two keynotes. These insightful talks should provide rich food for thought for your own investigations and help in shaping the future of security and privacy analytics.
606   $aComputer security$vCongresses
606   $aArtificial intelligence$vCongresses
615  0$aComputer security
615  0$aArtificial intelligence
676   $a006.3
700   $aVerma$b Rakesh$0941715
702   $aKantarcioglu$b Murat
712 02$aAssociation for Computing Machinery-Digital Library,
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