RT Journal Article
T1 Perspectives on Adversarial Classification
A1 Rios Insua, David
A1 Naveiro, Roi
A1 Gallego, Víctor
AB 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.
PB MDPI
SN 2227-7390
YR 2020
FD 2020-11-05
LK https://hdl.handle.net/20.500.14352/7539
UL https://hdl.handle.net/20.500.14352/7539
LA eng
NO Unión Europea. Horizonte 2020
NO Ministerio de Ciencia e Innovación (MICINN)
NO Ministerio de Ciencia e Innovación (MICINN)/FEDER
NO Statistical and Applied Mathematical Sciences Institute (SAMSI)
DS Docta Complutense
RD 25 dic 2025