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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 |
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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: | 14 Jan 2022 12:25 |
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