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
Universal Adversarial Attacks on the Raw Data From a Freque..:
Jakob Valtl
;
Vadim Issakov
https://ieeexplore.ieee.org/document/9933434/. , 2022
Link:
https://doi.org/10.1109/ACCESS.2022.3218349
RT Journal T1
Universal Adversarial Attacks on the Raw Data From a Frequency Modulated Continuous Wave Radar
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:7b689871d75149c1b73126f36833ab54&Exemplar=1&LAN=DE A1 Jakob Valtl A1 Vadim Issakov PB IEEE YR 2022 K1 Adversarial attacks K1 artificial neural networks K1 autonomous vehicles K1 edge computing K1 object recognition K1 radar applications K1 Electrical engineering. Electronics. Nuclear engineering K1 TK1-9971 JF https://ieeexplore.ieee.org/document/9933434/ LK http://dx.doi.org/https://doi.org/10.1109/ACCESS.2022.3218349 DO https://doi.org/10.1109/ACCESS.2022.3218349 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)