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
Fine-Tuning AI to Assist in Building Curriculum for the CIA..:
, In:
Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2
,
Flores, Paige
;
Kaza, Siddharth
;
Taylor, Blair
- p. 804 ff. , 2024
Link:
https://dl.acm.org/doi/10.1145/3649405.3659495
RT T1
Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2
: T1
Fine-Tuning AI to Assist in Building Curriculum for the CIA Triad and Cyber Kill Chain
UL https://suche.suub.uni-bremen.de/peid=acm-3659495&Exemplar=1&LAN=DE A1 Flores, Paige A1 Kaza, Siddharth A1 Taylor, Blair PB ACM YR 2024 K1 artificial intelligence K1 curriculum K1 cybersecurity education K1 large language models K1 security injections K1 Computing methodologies K1 Artificial intelligence K1 Security and privacy K1 Applied computing K1 Education SP 804 ff. LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3649405.3659495 DO https://dl.acm.org/doi/10.1145/3649405.3659495 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)