Analysing robustness of tiny deep neural networks
author
Mousavi, Hamid
Zoljodi, Ali
Daneshtalab, Masoud
statement of authorship
Hamid Mousavi, Ali Zoljodi and Masoud Daneshtalab
source
New Trends in Database and Information Systems : ADBIS 2023 Short Papers, Doctoral Consortium and Workshops : DOING, K-GALS, MADEISD, PeRS, Barcelona, Spain, September 4–7, 2023 : proceedings
location of publication
Cham
publisher
Springer
year of publication
2023
pages
p. 150-159
series
Communications in computer and information science ; 1850
conference name, date
27th European Conference on Advances in Databases and Information Systems, ADBIS 2023, 4-7 September 2023
conference location
Barcelona, Spain
url
https://doi.org/10.1007/978-3-031-42941-5_14
subject term
matemaatiline analüüs
arvutivõrgu arhitektuur
andmekaitse
Scopus
https://www.scopus.com/sourceid/17700155007
https://www.scopus.com/record/display.uri?eid=2-s2.0-85171970100&origin=inward&txGid=091e818cd8188b86d01edd202d503a6f
quartile
Q4
category (general)
Computer science
Arvutiteadus
Mathematics
Matemaatika
category (sub)
Computer science. General computer science
Arvutiteadus. Üldine arvutiteadus
Mathematics. General mathematics
Matemaatika. Üldmatemaatika
keyword
adversarial data perturbation
adversarial training
lipchitz constant
robustness analysis
ISSN
1865-0929
1865-0937 (electronic)
ISBN
978-3-031-42940-8
978-3-031-42941-5 (eBook)
notes
Bibliogr.: 26 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
arvutisüsteemide instituut
language
inglise