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
Towards Causal Deep Learning for Vulnerability Detection:
, In:
2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE)
,
Rahman, Mahbubur
;
Ceka, Ira
;
Mao, Chengzhi
... - p. 1888-1898 , 2024
Link:
https://doi.org/10.1145/3597503.3639170
RT T1 <cTitle>2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE)</cTitle>: T1 <Title>Towards Causal Deep Learning for Vulnerability Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10549636&Exemplar=1&LAN=DE A1 Rahman, Mahbubur A1 Ceka, Ira A1 Mao, Chengzhi A1 Chakraborty, Saikat A1 Ray, Baishakhi A1 Le, Wei YR 2024 SN 1558-1225 K1 Deep learning K1 Knowledge engineering K1 Correlation K1 Perturbation methods K1 Predictive models K1 Prediction algorithms K1 Feature extraction K1 vulnerability detection K1 causality K1 spurious features SP 1888 OP 1898 LK http://dx.doi.org/https://doi.org/10.1145/3597503.3639170 DO https://doi.org/10.1145/3597503.3639170 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
