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
Security Evaluation of Deep Neural Network Resistance Again..:
, In:
2020 IEEE International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA)
,
Hou, Xiaolu
;
Breier, Jakub
;
Jap, Dirmanto
... - p. 1-6 , 2020
Link:
https://doi.org/10.1109/IPFA49335.2020.9261013
RT T1 <cTitle>2020 IEEE International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA)</cTitle>: T1 <Title>Security Evaluation of Deep Neural Network Resistance Against Laser Fault Injection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9261013&Exemplar=1&LAN=DE A1 Hou, Xiaolu A1 Breier, Jakub A1 Jap, Dirmanto A1 Ma, Lei A1 Bhasin, Shivam A1 Liu, Yang YR 2020 SN 1946-1550 K1 Circuit faults K1 Semiconductor lasers K1 Neurons K1 Biological neural networks K1 Timing K1 Laser modes K1 Mathematical model K1 fault attack K1 neural networks K1 deep learning SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/IPFA49335.2020.9261013 DO https://doi.org/10.1109/IPFA49335.2020.9261013 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
