193 citations · 244 across the 22 of their papers we have counts for
8 papers · 1 filter
Data-Driven Games with Coherent Risk Measures
Bharat Gangwani, Arunesh Sinha
We introduce Coherent Utility Measure Games (CUMGs) in which players' uncertainty about the distribution of payoffs is modeled using coherent utility (risk) measures. Such measures…
Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach
Tien Mai, Arunesh Sinha
Vaccine delivery in under-resourced locations with security risks is not just challenging but also life threatening. The current COVID pandemic and the need to vaccinate have added…
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning
Sanket Shah, Arunesh Sinha, Pradeep Varakantham +2
Large-scale screening for potential threats with limited resources and capacity for screening is a problem of interest at airports, seaports, and other ports of entry. Adversaries…
Adversarial Contract Design for Private Data Commercialization
Parinaz Naghizadeh, Arunesh Sinha
The proliferation of data collection and machine learning techniques has created an opportunity for commercialization of private data by data aggregators. In this paper, we study t…
Practical Scalability for Stackelberg Security Games
Arunesh Sinha, Aaron Schlenker, Donnabell Dmello +1
Stackelberg Security Games (SSGs) have been adopted widely for modeling adversarial interactions. With increasing size of the applications of SSGs, scalability of equilibrium compu…
Security Games with Information Leakage: Modeling and Computation
Haifeng Xu, Albert X. Jiang, Arunesh Sinha +3
Most models of Stackelberg security games assume that the attacker only knows the defender's mixed strategy, but is not able to observe (even partially) the instantiated pure strat…