Perspectives on Adversarial Classification

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Rios Insua, David and Naveiro, Roi and Gallego, Víctor (2020) Perspectives on Adversarial Classification. Mathematics, 8 (1957). ISSN 2227-7390

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Official URL: https://doi.org/10.3390/math8111957




Abstract

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.


Item Type:Article
Uncontrolled Keywords:Classification; adversarial machine learning; security; robustness; adversarial risk analysis
Palabras clave (otros idiomas):Seguridad informática
Subjects:Sciences > Computer science
Sciences > Computer science > Computer security
Sciences > Mathematics
ID Code:63167
Deposited On:25 Nov 2020 15:02
Last Modified:25 Nov 2020 15:02

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