Adversarial classification: An adversarial risk analysis approach

Roi Naveiro; Alberto Redondo; David Ríos Insua; Fabrizio Ruggeri

doi:10.1016/j.ijar.2019.07.003

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arXiv · 1802.07513

Adversarial classification: An adversarial risk analysis approach

Roi Naveiro·Alberto Redondo·David Ríos Insua·Fabrizio Ruggeri

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Abstract

Classification problems in security settings are usually contemplated as confrontations in which one or more adversaries try to fool a classifier to obtain a benefit. Most approaches to such adversarial classification problems have focused on game theoretical ideas with strong underlying common knowledge assumptions, which are actually not realistic in security domains. We provide an alternative framework to such problem based on adversarial risk analysis, which we illustrate with several examples. Computational and implementation issues are discussed.

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Roi Naveiro, Alberto Redondo, David Ríos Insua, Fabrizio Ruggeri. 2018-02-21. Adversarial classification: An adversarial risk analysis approach. https://doi.org/10.1016/j.ijar.2019.07.003

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