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1 Ergebnisse
1
PRECODE - A Generic Model Extension to Prevent Deep Gradien..:
, In:
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
,
Scheliga, Daniel
;
Mader, Patrick
;
Seeland, Marco
- p. 3605-3614 , 2022
Link:
https://doi.org/10.1109/WACV51458.2022.00366
RT T1 <cTitle>2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</cTitle>: T1 <Title>PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9706796&Exemplar=1&LAN=DE A1 Scheliga, Daniel A1 Mader, Patrick A1 Seeland, Marco YR 2022 SN 2642-9381 K1 Training K1 Privacy K1 Data privacy K1 Perturbation methods K1 Computational modeling K1 Training data K1 Stochastic processes K1 Deep Learning Gradient Inversion Attacks SP 3605 OP 3614 LK http://dx.doi.org/https://doi.org/10.1109/WACV51458.2022.00366 DO https://doi.org/10.1109/WACV51458.2022.00366 SF ELIB - SuUB Bremen
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