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1
Adversarial Attacks Against Uncertainty Quantification:
, In:
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
,
Ledda, Emanuele
;
Angioni, Daniele
;
Piras, Giorgio
... - p. 4601-4610 , 2023
Link:
https://doi.org/10.1109/ICCVW60793.2023.00494
RT T1 <cTitle>2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)</cTitle>: T1 <Title>Adversarial Attacks Against Uncertainty Quantification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10350971&Exemplar=1&LAN=DE A1 Ledda, Emanuele A1 Angioni, Daniele A1 Piras, Giorgio A1 Fumera, Giorgio A1 Biggio, Battista A1 Roli, Fabio YR 2023 SN 2473-9944 K1 Threat modeling K1 Adaptation models K1 Uncertainty K1 Semantic segmentation K1 Perturbation methods K1 Conferences K1 Measurement uncertainty K1 Uncertainty Quantification K1 Adversarial ML SP 4601 OP 4610 LK http://dx.doi.org/https://doi.org/10.1109/ICCVW60793.2023.00494 DO https://doi.org/10.1109/ICCVW60793.2023.00494 SF ELIB - SuUB Bremen
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