Bilevel optimization is a field of mathematical programming in which some variables are
constrained to be the solution of another optimization problem. As a consequence, bilevel …

The failure of a power system as a critical infrastructure causes considerable damage to
society. Hence, the vulnerabilities of such facilities should be minimized to cope with several …

Problems of cooperation--in which agents seek ways to jointly improve their welfare--are
ubiquitous and important. They can be found at scales ranging from our daily routines--such …

Machine learning relies on the assumption that unseen test instances of a classification
problem follow the same distribution as observed training data. However, this principle can …

Abstract The Stackelberg Security Game (SSG) model has been immensely influential in
security research since it was introduced roughly a decade ago. Furthermore, deployed SSG …

When investing in cyber security resources, information security managers have to follow
effective decision-making strategies. We refer to this as the cyber security investment …

The mainstream approach to protecting the location-privacy of mobile users in location-
based services (LBSs) is to alter the users' actual locations in order to reduce the location …

Real world applications such as economics and policy making often involve solving multi-
agent games with two unique features:(1) The agents are inherently asymmetric and …

In this paper, a security problem in networked control systems (NCS) is studied. In a
standard linear quadratic Gaussian (LQG) control scenario in NCS, a so-called false data …

In this article, we review the literature which proposes attacker-defender games to protect
against strategic adversarial threats. More specifically, we follow the systematic literature …