SecMAS (Security and Multi-agent Systems) @ AAMAS 2016

[debarun kar]

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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: February 1, 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
  
• 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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Invited Talk

To be announced.

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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.

Thanks,
Debarun.

Debarun Kar (www-scf.usc.edu/~dkar)

Graduate Research Assistant (PhD)

Teamcore Research Group
Department of Computer Science 

Viterbi School of Engineering
University of Southern California