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
Few-shot Text Steganalysis Based on Attentional Meta-learne:
, In:
Proceedings of the 2022 ACM Workshop on Information Hiding and Multimedia Security
,
Wen, Juan
;
Zhang, Ziwei
;
Yang, Yu
. - p. 97-106 , 2022
Link:
https://dl.acm.org/doi/10.1145/3531536.3532949
RT T1 <cTitle>Proceedings of the 2022 ACM Workshop on Information Hiding and Multimedia Security</cTitle>: T1 <Title>Few-shot Text Steganalysis Based on Attentional Meta-learner</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3532949&Exemplar=1&LAN=DE A1 Wen, Juan A1 Zhang, Ziwei A1 Yang, Yu A1 Xue, Yiming PB ACM YR 2022 K1 feature extraction K1 few-shot learning K1 meta-learning K1 text steganalysis K1 Computing methodologies K1 Artificial intelligence K1 Natural language processing K1 Security and privacy K1 Human and societal aspects of security and privacy SP 97 OP 106 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3531536.3532949 DO https://dl.acm.org/doi/10.1145/3531536.3532949 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
