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
Explainable AI based Adversarial Examples and its Evaluatio:
, In:
Proceedings of the 2023 6th International Conference on Electronics, Communications and Control Engineering
,
Kumagai, Ryo
;
Takemoto, Shu
;
Nozaki, Yusuke
. - p. 220-225 , 2023
Link:
https://dl.acm.org/doi/10.1145/3592307.3592342
RT T1 <cTitle>Proceedings of the 2023 6th International Conference on Electronics, Communications and Control Engineering</cTitle>: T1 <Title>Explainable AI based Adversarial Examples and its Evaluation</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3592342&Exemplar=1&LAN=DE A1 Kumagai, Ryo A1 Takemoto, Shu A1 Nozaki, Yusuke A1 Yoshikawa, Masaya PB ACM YR 2023 K1 adversarial examples K1 deep neural networks K1 explainable AI K1 security K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 220 OP 225 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3592307.3592342 DO https://dl.acm.org/doi/10.1145/3592307.3592342 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
