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
A Black-Box Adversarial Attack via Deep Reinforcement Learn..:
, In:
2021 IEEE Conference on Dependable and Secure Computing (DSC)
,
Li, Lyue
;
Rezapour, Amir
;
Tzeng, Wen-Guey
- p. 1-7 , 2021
Link:
https://doi.org/10.1109/DSC49826.2021.9346264
RT T1
2021 IEEE Conference on Dependable and Secure Computing (DSC)
: T1
A Black-Box Adversarial Attack via Deep Reinforcement Learning on the Feature Space
UL https://suche.suub.uni-bremen.de/peid=ieee-9346264&Exemplar=1&LAN=DE A1 Li, Lyue A1 Rezapour, Amir A1 Tzeng, Wen-Guey YR 2021 K1 Training K1 Magnetic resonance imaging K1 Conferences K1 Noise reduction K1 Estimation K1 Reinforcement learning K1 adversarial attack K1 adversarial example K1 autoen-coder K1 deep reinforcement learning K1 machine learning K1 image processing K1 black-box attack K1 adversarial defense SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/DSC49826.2021.9346264 DO https://doi.org/10.1109/DSC49826.2021.9346264 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)