Rios Insua, DavidNaveiro, RoiGallego, Víctor2023-06-172023-06-172020-11-052227-739010.3390/math8111957https://hdl.handle.net/20.500.14352/7539Adversarial classification (AC) is a major subfield within the increasingly important domain of adversarial machine learning (AML). So far, most approaches to AC have followed a classical game-theoretic framework. This requires unrealistic common knowledge conditions untenable in the security settings typical of the AML realm. After reviewing such approaches, we present alternative perspectives on AC based on adversarial risk analysis.engAtribución 3.0 Españahttps://creativecommons.org/licenses/by/3.0/es/journal articlehttps://doi.org/10.3390/math8111957https://www.mdpi.com/2227-7390/8/11/1957open access004.056004.492Classificationadversarial machine learningsecurityrobustnessadversarial risk analysisSeguridad informáticaInformática (Informática)Seguridad informáticaMatemáticas (Matemáticas)1203.17 Informática12 Matemáticas