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Título: | An adversarial risk analysis framework for batch acceptance problems |
Autor: | González-Ortega, Jorge; Soyer, Refik; Ríos Insua, David; Ruggerie, Fabrizio | Fecha de publicación: | 2021 | Citación: | Decision Analysis 18: 25- 40 (2021) | Resumen: | We provide an adversarial risk analysis framework for batch acceptance problems in which a decision maker relies exclusively on the size of the batch to accept or reject its admission to a system, albeit being aware of the presence of an opponent. The adversary acts as a data-fiddler attacker perturbing the observations perceived by the decision maker through injecting faulty items and/or modifying the existing items to faulty ones. We develop optimal policies against this combined attack strategy and illustrate the methodology with a review spam example. | Versión del editor: | http://dx.doi.org/10.1287/deca.2020.0420 | URI: | http://hdl.handle.net/10261/262047 | DOI: | 10.1287/deca.2020.0420 | Identificadores: | doi: 10.1287/deca.2020.0420 issn: 1545-8504 |
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