193 citations · 195 across the 5 of their papers we have counts for
5 papers
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…
Who and When to Screen: Multi-Round Active Screening for Recurrent Infectious Diseases Under Uncertainty
Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen +2
Controlling recurrent infectious diseases is a vital yet complicated problem. In this paper, we propose a novel active screening model (ACTS) and algorithms to facilitate active sc…
Towards the Science of Security and Privacy in Machine Learning
Nicolas Papernot, Patrick McDaniel, Arunesh Sinha +1
Advances in machine learning (ML) in recent years have enabled a dizzying array of applications such as data analytics, autonomous systems, and security diagnostics. ML is now perv…
Programs as Actual Causes: A Building Block for Accountability
Anupam Datta, Deepak Garg, Dilsun Kaynar +2
An updated version of this paper is available at http://arxiv.org/abs/1505.01131
Audit Games
Jeremiah Blocki, Nicolas Christin, Anupam Datta +2
Effective enforcement of laws and policies requires expending resources to prevent and detect offenders, as well as appropriate punishment schemes to deter violators. In particular…