4 accepted papers
Deep neural networks have achieved exceptional performance across a wide range of applications but remain susceptible to adversarial attacks. While most prior research has focused on single-task scenarios, increasing attention is being directed toward adversarial attacks targeting multiple tasks sim…
In critical environments that require a high accuracy of decisions, utilizing human cognitive strengths and expertise in addition to machine observations is advantageous to improve decision quality and enhance situational awareness. While the current literature on human decision making is primarily…
Unlike decision making systems made up of physical sensors where the system parameters are known a priori and can be controlled at will, human behavior in decision making is complex and uncertain. The objective of this work is to study how humans make decisions based on internal and external sources…
In this paper, the optimal jamming strategy by an adversary in distributed detection networks is investigated. By utilizing the game-theoretical framework to characterize the interaction between the fusion center (FC) and the jammer as a repeated game, we examine how the behavior of the FC changes w…