Analysing robustness of tiny deep neural networks
vastutusandmed
Hamid Mousavi, Ali Zoljodi and Masoud Daneshtalab
allikas
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
ilmumiskoht
Cham
kirjastus/väljaandja
ilmumisaasta
leheküljed
p. 150-159
seeria-sari
Communications in computer and information science ; 1850
konverentsi nimetus, aeg
27th European Conference on Advances in Databases and Information Systems, ADBIS 2023, 4-7 September 2023
konverentsi toimumispaik
Barcelona, Spain
ISSN
1865-0929
1865-0937 (electronic)
ISBN
978-3-031-42940-8
978-3-031-42941-5 (eBook)
märkused
Bibliogr.: 26 ref
teaduspublikatsioon
teaduspublikatsioon
TTÜ struktuuriüksus
keel
inglise
võtmesõna
adversarial data perturbation
adversarial training
lipchitz constant
robustness analysis
kategooria (üld)
kategooria (alam)
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). https://doi.org/10.1007/978-3-031-42941-5_14