ADVERSE 2017: Adversarial Reasoning in Multi-agent Systems
http://teamcore.usc.edu/people/haifeng/Adverse17/index.html
Co-located with AAMAS 2017 (http://www.aamas2017.org/)
May 8-12, 2017, Sao Paulo, Brazil
(Workshop will be held either May 8 or May 9)
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Adversarial reasoning is essential for modeling real-world problems in presence of adversaries, competitions, strategic interactions or uncertainties. Research and applications related to adversarial reasoning span a broad variety of disciplines, including computer science, electrical engineering, economics, biology, etc. The focus of this workshop is to bring together the broad community working on adversarial reasoning in multi-agent systems motivated by any of these domains.
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 problems in presence of adversary, uncertainties, competitions, etc., (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
Worst case analysis and reasoning
Risk analysis and modeling
Cybersecurity
Adversarial/robust learning
Privacy
Security applications of machine learning
Information Leakage
Foundations of game theory for security
Online learning
Learning in games
Algorithms for scaling to very large games
Behavioral game theory
Decision making under uncertainty
Agent/human interaction for preference elicitation and optimization
Protection against environmental crime
Security applications of AI methods
Evaluation/lessons learned of deployed systems
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Important Dates
Submission deadline: February 1, 2017
Notification: March 7, 2017
Camera-ready deadline: March 10, 2017
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Organizing Committee
Haifeng Xu, University of Southern California, USA
Yevgeniy Vorobeychik, Vanderbilt University, USA
Long Tran-Thanh, University of Southampton, UK
Debarun Kar, University of Southern California, USA
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Program Committee
Bo An, Nanyang technical University, Singapore
Jose M. Such, Security lancaster, Lancaster University, UK
John P. Dickerson, University of Maryland, MD, USA
Stefan Rass, University of Klagenfurt, Austria
William Yeoh, New Mexico State University, NM, USA
Arunesh Sinha, University of Michigan, MI, USA
Branislav Bosansky, Czech Technical University, Prague, Czech Republic
Bo Li, University of Michigan, MI, USA
Zinovi Rabinovich, Mobileye
Thanh H. Nguyen, University of Michigan, MI, USA
Yang Liu, Harvard University, MA, USA
Vinh-Thong Ta, University of Central lancashire, UK
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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 Easychair system:
https://easychair.org/conferences/?conf=adverse2016
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-2017 Workshops, where one paper will be selected from each AAMAS-2017 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-2017 Workshops, where one paper will be selected from each AAMAS-2017 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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Encore Session
In addition to accepting original research, the workshop will also feature a new encore session for researchers to present their previously published papers (not at AAMAS'17) to more relevant audience at the workshop. We encourage submissions from all related areas. To present in the encore session, you only need to send us an email (haifengx@usc.edu) attaching the paper which was accepted at another conference or a link to that paper. Papers submitted to the encore session will not be published and considered for best/visionary paper awards. Up to 5 papers will be selected for presentation at the encore session.
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Dr. 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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