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Simulated Adversarial Testing of Face Recognition Models:
, In:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Ruiz, Nataniel
;
Kortylewski, Adam
;
Qiu, Weichao
... - p. 4135-4145 , 2022
Link:
https://doi.org/10.1109/CVPR52688.2022.00411
RT T1 <cTitle>2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>Simulated Adversarial Testing of Face Recognition Models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9879667&Exemplar=1&LAN=DE A1 Ruiz, Nataniel A1 Kortylewski, Adam A1 Qiu, Weichao A1 Xie, Cihang A1 Bargal, Sarah Adel A1 Yuille, Alan A1 Sclaroff, Stan YR 2022 SN 2575-7075 K1 Training K1 Manifolds K1 Shape K1 Face recognition K1 Semantics K1 Nose K1 Machine learning K1 Face and gestures; Adversarial attack and defense; Transparency K1 fairness K1 accountability K1 privacy and ethics in vision SP 4135 OP 4145 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52688.2022.00411 DO https://doi.org/10.1109/CVPR52688.2022.00411 SF ELIB - SuUB Bremen
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