Analysing robustness of tiny deep neural networks
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
year of publication
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
subject term
kvartiil
category (general)
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
TTÜ department
language
inglise
Mousavi, H., Zoljodi, A., Daneshtalab, M. Analysing robustness of tiny deep neural networks // 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. Cham : Springer, 2023. p. 150-159. (Communications in computer and information science ; 1850).