DeepVigor: VulnerabIlity Value RanGes and FactORs for DNNs’ Reliability Assessment
statement of authorship
Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
source
IEEE European Test Symposium (ETS) : Venice, Italy, 22-26 May 2023 : proceedings
publisher
year of publication
pages
6 p. : ill
conference name, date
IEEE European Test Symposium (ETS), 22-26 May 2023
conference location
Venice, Italy
ISSN
1558-1780
ISBN
979-8-3503-3634-4
notes
Bibliogr.: 30 ref
Open Access
Open Access (roheline)
scientific publication
teaduspublikatsioon
TalTech department
language
inglise
classifier
- Assessment and Enhancement of Hardware Reliability for Deep Neural Networks = Riistvara töökindluse hindamine ja täiustamine süvanärvivõrkude jaoks
- Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
Ahmadilivani, M.H., Taheri, M., Raik, J., Daneshtalab, M., Jenihhin, M. DeepVigor: VulnerabIlity Value RanGes and FactORs for DNNs’ Reliability Assessment // IEEE European Test Symposium (ETS) : Venice, Italy, 22-26 May 2023 : proceedings. : IEEE, 2023. 6 p. : ill. https://doi.org/10.1109/ETS56758.2023.10174133