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- W3081101825 abstract "The problem of sequential binary hypothesis testing in an adversarial environment is investigated. Specifically, if there is no adversary, the samples are generated independently by a distribution p; and if the adversary is present, the samples are generated independently by another distribution q. The adversary picks a distribution $q in mathcal{Q}$ with cost c(q). The goal of the defender is to decide whether there is an adversary using samples as few as possible; and the goal of the adversary is to fool the defender. The problem is formulated as a non-zero-sum game between the adversary and the defender. A pair of strategies (attack strategy from the adversary and the sequential hypothesis testing scheme from the detector) is proposed and proved to be a Nash equilibrium pair for the non-zero-sum game asymptotically. Numerical experiments are provided to validate our results." @default.
- W3081101825 created "2020-09-01" @default.
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- W3081101825 date "2020-06-01" @default.
- W3081101825 modified "2023-09-27" @default.
- W3081101825 title "A Game-Theoretic Approach to Sequential Detection in Adversarial Environments" @default.
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- W3081101825 doi "https://doi.org/10.1109/isit44484.2020.9173965" @default.
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