ProARD: Progressive adversarial robustness distillation: Provide wide range of robust students
author
Mousavi, Seyedhamidreza
Mousavi, Seyedali
Daneshtalab, Masoud
statement of authorship
Seyedhamidreza Mousavi, Seyedali Mousavi, Masoud Daneshtalab
source
Proceedings of the International Joint Conference on Neural Networks
location of publication
Piscataway, New Jersey
publisher
IEEE
year of publication
2025
pages
8 p. : ill
conference name, date
2025 International Joint Conference on Neural Networks (IJCNN), 30 June - 5 July 2025
conference location
Rome, Italy
url
https://doi.org/10.1109/IJCNN64981.2025.11227836
subject term
vastupidavus
dünaamika (füüsika)
õpilased
õpetajad
närvivõrgud
Scopus
https://www.scopus.com/pages/publications/105023979060?origin=resultslist
WOS
https://www.webofscience.com/wos/woscc/full-record/WOS:001706337700563
keyword
adversarial robustness
dynamic network
robustness distillation
ISSN
2161-4393
ISBN
[9798331510428]
notes
Bibliogr.: 26 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
Department of Computer Systems
arvutisüsteemide instituut
language
English
inglise