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.