International Workshop on Adapting Data Mining for Security (ADMiS)
InfoSec Conference Summary
The description was submitted by the Conference Organizer. We sometimes edit it to enhance the listing.
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.