@conference {1501441,
	title = {Addressing Behavioral Uncertainty in Security Games: An Efficient Robust Strategic Solution for Defender Patrols },
	booktitle = {ParSocial Workshop 2016},
	year = {2016},
	abstract = {Stackelberg Security Games (SSG) have been
widely applied for solving real-world security problems {\textemdash}
with a significant research emphasis on modeling attackers{\textquoteright}
behaviors to handle their bounded rationality. However, access
to real-world data (used for learning an accurate behavioral
model) is often limited, leading to uncertainty in attacker{\textquoteright}s
behaviors while modeling. This paper therefore focuses on
addressing behavioral uncertainty in SSG with the following
main contributions: 1) we present a new uncertainty game
model that integrates uncertainty intervals into a behavioral
model to capture behavioral uncertainty; and 2) based on
this game model, we propose a novel robust algorithm that
approximately computes the defender{\textquoteright}s optimal strategy in the
worst-case scenario of uncertainty. We show that our algorithm
guarantees an additive bound on its solution quality.},
	author = {Thanh H. Nguyen and Sinha, Arunesh and Tambe, Milind}
}
