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1 Ergebnisse
1
Fairness-aware Adversarial Perturbation Towards Bias Mitiga..:
, In:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Wang, Zhibo
;
Dong, Xiaowei
;
Xue, Henry
... - p. 10369-10378 , 2022
Link:
https://doi.org/10.1109/CVPR52688.2022.01013
RT T1 <cTitle>2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>Fairness-aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9878694&Exemplar=1&LAN=DE A1 Wang, Zhibo A1 Dong, Xiaowei A1 Xue, Henry A1 Zhang, Zhifei A1 Chiu, Weifeng A1 Wei, Tao A1 Ren, Kui YR 2022 SN 2575-7075 K1 Training K1 Degradation K1 Adaptation models K1 Perturbation methods K1 Feature extraction K1 Generators K1 Pattern recognition K1 Transparency K1 fairness K1 accountability K1 privacy and ethics in vision SP 10369 OP 10378 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52688.2022.01013 DO https://doi.org/10.1109/CVPR52688.2022.01013 SF ELIB - SuUB Bremen
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