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Paper IDE.5.1
Paper Title Evasive Active Hypothesis Testing
Authors Meng-Che Chang, Matthieu Bloch, Georgia Institution of Technology, United States
Session E.5: Hypothesis Testing I
Presentation Lecture
Track Detection and Estimation
Manuscript  Click here to download the manuscript
Virtual Presentation  Click here to watch in the Virtual Symposium
Abstract We consider an active hypothesis testing scenario in which an adversary obtains observations while legitimate parties engage in a sequential adaptive control policy to estimate an unknown parameter. We formulate an evasive active hypothesis problem in which the objective is for the legitimate parties to control the risk of their test while minimizing the detection ability of the adversary, measured in terms of its error exponent. We develop bounds on the adversary's error exponent that offer insight into how legitimate adversaries can evade the adversary's detection. We illustrate the results in a wireless transmission detection example.

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2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

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