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
kvartiil
kategooria (üld)
kategooria (alam)
võtmesõna
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)
märkused
Bibliogr.: 26 ref
teaduspublikatsioon
teaduspublikatsioon
klassifikaator
TTÜ struktuuriüksus
keel
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). https://doi.org/10.1007/978-3-031-42941-5_14