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Adversarial Machine Learning: Bayesian Perspectives:
Rios Insua, David
;
Naveiro, Roi
;
Gallego, Víctor
.
Journal of the American Statistical Association. 118 (2023) 543 - p. 2195-2206 , 2023
Link:
https://doi.org/10.1080/01621459.2023.2183129
RT Journal T1 <Title>Adversarial Machine Learning: Bayesian Perspectives</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1080_01621459.2023.2183129&Exemplar=1&LAN=DE A1 Rios Insua, David A1 Naveiro, Roi A1 Gallego, Víctor A1 Poulos, Jason PB Informa UK Limited YR 2023 SN 0162-1459 SN 1537-274X JF Journal of the American Statistical Association VO 118 IS 543 SP 2195 OP 2206 LK http://dx.doi.org/https://doi.org/10.1080/01621459.2023.2183129 DO https://doi.org/10.1080/01621459.2023.2183129 SF ELIB - SuUB Bremen
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