Deadline: Febr 15, 2016
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SecMAS 2016: Security and Multi-agent Systems Workshop
http://www-scf.usc.edu/~dkar/SecMAS2016/
Co-located with AAMAS 2016 (http://sis.smu.edu.sg/aamas2016)
May 9-13, 2016, Singapore
(Workshop will be held either May 9 or May 10)
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The importance of research and applications related to security and multi-agent systems continues to increase in a broad variety of disciplines, including computer science, electrical engineering, economics, biology, political science, business, law, public policy, and many others. The focus of this workshop is to bring together the broad community working on Security and Multi-Agent Systems motivated by any of these domains.
Many large-scale real-world security problems have been successfully modeled as multi-agent security games, and highly scalable algorithmic solutions with software assistants implementing these have been developed and deployed. Perhaps the greatest advances have been in the domain of physical security, with examples including patrolling of seaports and airports, scheduling air marshals, ticket audit in transit systems. Remarkably, there have been a number of more recent developments that significantly broaden the applicability of security game approaches. For example, similar techniques have been used in important sustainability applications, such as fishery protection and prevention of illegal poaching. Moreover, game theoretic models have increasing applicability in cyber, as well as cyber-physical system (CPS) security, such as adversarial machine learning methods (for use, for example, in intrusion detection systems), resilient sensor placement and monitoring strategies, and privacy preserving data publishing and auditing systems.
While there has been significant progress, there still exist many major challenges facing the design of effective approaches to deal with the difficulties in real-world domains. These include building predictive behavioral models for the players, dealing with uncertainties in games, scaling up for large games, and applications of machine learning and multi-agent learning to security, particularly in the context of repeated or stochastic games. This workshop is structured to encourage a lively exchange of ideas to address the above challenges.
We invite full length research submissions from a broad range of researchers and practitioners, including (1) computer scientists applying their AI/MAS research to real-world security problems, (2) interdisciplinary researchers combining AI/MAS with various disciplines (e.g., game theory, operations research, social science, and psychology), and (3) engineers and scientists from private companies and public organizations performing security related research and development, as well as building real adversarial reasoning systems. We encourage all researchers working towards applying security and multi-agent systems concepts for real-world problems to submit to the workshop.
Topics of interest include, but are not limited to:
Real-world applications of game theory for security
Cybersecurity
Security applications of machine learning
Foundations of game theory for security
Adversarial/robust learning
Online learning
Learning in games
Algorithms for scaling to very large games
Economics of security
Behavioral game theory
Decision making under uncertainty
Agent/human interaction for preference elicitation and optimization
Protection against environmental crime
Risk analysis and modeling
Security applications of AI methods
Evaluation/lessons learned of deployed systems
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Important Dates
Submission Deadline Extended : February 15, 2016
Notification: March 7, 2016
Camera-ready deadline: March 10, 2016
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Organizing Committee
Debarun Kar, University of Southern California, USA
Yevgeniy Vorobeychik, Vanderbilt University, USA
Long Tran-Thanh, University of Southampton, UK
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Program Committee
Michael Wellman, University of Michigan, MI, USA.
Christopher Kiekintveld, University of Texas at El Paso, TX, USA
Arunesh Sinha, University of Southern California, CA, USA
Branislav Bosansky, Czech Technical University, Prague, Czech Republic
Martin Short, Georgia Institute of Technology, GA, USA
Matthew Brown, University of Southern California, CA, USA
Zinovi Rabinovich, Mobileye
Paulo Shakarian, Arizona State University, AZ, USA
Fei Fang, University of Southern California, CA, USA
Aron Laszka, University of California Berkeley, CA, USA
Bo An, Nanyang technical University, Singapore
Praveen Paruchuri, IIIT Hyderabad, India
Georgios Piliouras, Singapore University of Technology, Singapore
Jose M. Such, Security lancaster, Lancaster University, UK
Vinh-Thong Ta, University of Central lancashire, UK
Francesco Maria Delle Fave, Disney Research, Boston, USA
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Submission and Publication
Authors should submit original papers (maximum length 8 double-columned pages in AAMAS format)
in PDF through the Confmaster system:
https://secmas2016.confmaster.net
The most "visionary paper" will be published by Springer in a book under the
Lecture Notes in Artificial Intelligence (LNAI) - Hot Topics series. The book
will be a compilation of the most visionary papers of the AAMAS-2016 Workshops, where one paper will be selected from each AAMAS-2016 workshop.
Additionally, the "best paper" will be published by Springer in a book under the Communications in Computer and Information Science (CCIS) series. The book will be a compilation of the best papers of the AAMAS-2016 Workshops, where one paper will be selected from each AAMAS-2016 workshop. Authors of the selected most visionary paper and the best paper are expected to provide their latex files promptly upon request.
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Long Tran-Thanh
Lecturer
--
Agents, Interaction, and Complexity Group,
Electronics and Computer Science,
University of Southampton, SO17 1BJ
--
http://users.ecs.soton.ac.uk/ltt08r
tel: +44 (0) 2380593715
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