ADMiS 2018 - First International Workshop on Adapting Data Mining for Security-2018 (co-located with IEEE ICDM'18), Singapore. Workshop date: November 20, 2018. Submissions are due: August 7, 2018 https://sites.google.com/site/admisworkshop/home co-located with IEEE International Conference on Data Mining (ICDM) 2018 Description A half-day workshop on Adapting Data Mining for Security (ADMiS) to be held in Singapore in conjunction with the IEEE International Conference on Data Mining 2018. This workshop will address the research and educational efforts in which analytical techniques from data mining and machine learning, are applied to solve security and privacy challenges, and the security and privacy considerations involved in applying them to those challenges. Increasingly, sophisticated techniques from data mining, and machine learning are being applied to challenges in security and privacy fields. However, experts from these areas have no high-visibility medium at a premier Data Mining conference such as ICDM, 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 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, are applied to solve security challenges. Submissions of papers related to methodology, design, techniques and new directions for security that make significant use of data mining and machine learning are welcome. Furthermore, submissions on educational topics and systems in the intersection of security and data mining are also highly encouraged. The workshop will focus on, but not limited to, the following areas: Data Mining techniques for security Machine learning for security Applications of AI to security Inference Control Privacy-preserving data mining Security of machine learning Security of data mining Case studies Educational topics and courses. Plan The half-day workshop is planned for November, 2018, with a keynote session, a technical session, a session /panel discussion on security education, future directions. The keynote speech will be delivered by a well-known researcher in the intersection of data mining and security. Important Dates Paper submission deadline: August 7, 2018 Author notification: September 4, 2018 Camera Ready deadline: September 15, 2018 Submission All submissions must describe original research, not published nor currently under review for another workshop, conference, or journal. All papers must be submitted electronically via the ICDM system: https://www.google.com/url?q=https%3A%2F%2Fwi-lab.com%2Fcyberchair%2F2018%2Ficdm18%2Fscripts%2Fsubmit.php%3Fsubarea%3DS12%26undisplay_detail%3D1%26wh%3D%2Fcyberchair%2F2018%2Ficdm18%2Fscripts%2Fws_submit.php&sa=D&sntz=1&usg=AFQjCNGI0rtiAF2G-wU0wUbOuEgSpLsq9g Papers must be no longer than 8 pages and in font size no smaller than 10 points. Detailed layout guidelines except the page length are the same as recommended in http://icdm2018.org. Submission implies the willingness of at least one author to attend the workshop and present the paper. Accepted papers will be included in the IEEE Xplore. The presenter must register for the workshop before the deadline for author registration. The accepted papers will be compiled in the workshop proceedings as either a regular paper within 8 pages or a poster paper within 2 pages. A limited number of high quality submissions may be selected for publication in a special issue of a journal. Technical Program Committee (TPC): Ping Chen, University of Massachusetts-Boston https%3A%2F%2Fwww.cs.umb.edu/~pchen David Marchette, Naval Surface Warfare Center Andrew Sung, University of Southern Mississippi, TPC Co-chair Rakesh Verma, University of Houston, TPC Co-chair Roland Yap, National University of Singapore More to be added.