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00925njm 22002777a 4500 dc Rios Insua, David author Naveiro, Roi author Gallego, Víctor author 2020-11-05 Adversarial 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. 2227-7390 10.3390/math8111957 https://hdl.handle.net/20.500.14352/7539 https://doi.org/10.3390/math8111957 https://www.mdpi.com/2227-7390/8/11/1957 Perspectives on Adversarial Classification