Perspectives on Adversarial Classification

David Rios Insua, Roi Naveiro and Victor Gallego
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David Rios Insua: School of Management, University of Shanghai for Science and Technology, Shanghai 201206, China
Roi Naveiro: ICMAT-CSIC, 28049 Madrid, Spain
Victor Gallego: ICMAT-CSIC, 28049 Madrid, Spain

Mathematics, 2020, vol. 8, issue 11, 1-21

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.

Keywords: classification; adversarial machine learning; security; robustness; adversarial risk analysis (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
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