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
Improving the Transferability of Adversarial Samples by Pat..:
, In:
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Zhang, Jianping
;
Huang, Jen-tse
;
Wang, Wenxuan
... - p. 8173-8182 , 2023
Link:
https://doi.org/10.1109/CVPR52729.2023.00790
RT T1 <cTitle>2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>Improving the Transferability of Adversarial Samples by Path-Augmented Method</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10203651&Exemplar=1&LAN=DE A1 Zhang, Jianping A1 Huang, Jen-tse A1 Wang, Wenxuan A1 Li, Yichen A1 Wu, Weibin A1 Wang, Xiaosen A1 Su, Yuxin A1 Lyu, Michael R. YR 2023 SN 2575-7075 K1 Training K1 Computer vision K1 Image recognition K1 Semantics K1 Data augmentation K1 Image augmentation K1 Robustness K1 Adversarial attack and defense SP 8173 OP 8182 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52729.2023.00790 DO https://doi.org/10.1109/CVPR52729.2023.00790 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
