I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
STDLens: Model Hijacking-Resilient Federated Learning for O..:
, In:
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Chow, Ka-Ho
;
Liu, Ling
;
Wei, Wenqi
.. - p. 16343-16351 , 2023
Link:
https://doi.org/10.1109/CVPR52729.2023.01568
RT T1
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
: T1
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection
UL https://suche.suub.uni-bremen.de/peid=ieee-10205357&Exemplar=1&LAN=DE A1 Chow, Ka-Ho A1 Liu, Ling A1 Wei, Wenqi A1 Ilhan, Fatih A1 Wu, Yanzhao YR 2023 SN 2575-7075 K1 Training K1 Adaptation models K1 Uncertainty K1 Federated learning K1 Source coding K1 Sociology K1 Process control K1 Transparency K1 fairness K1 accountability K1 privacy K1 ethics in vision SP 16343 OP 16351 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52729.2023.01568 DO https://doi.org/10.1109/CVPR52729.2023.01568 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)