ProARD: Progressive adversarial robustness distillation: Provide wide range of robust students
author
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
year of publication
pages
8 p. : ill
conference name, date
2025 International Joint Conference on Neural Networks (IJCNN), 30 June - 5 July 2025
conference location
Rome, Italy
subject term
Scopus
WOS
keyword
adversarial robustness
dynamic network
robustness distillation
ISSN
2161-4393
ISBN
[9798331510428]
notes
Bibliogr.: 26 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
TalTech department
language
inglise
Mousavi, S., Mousavi, S., Daneshtalab, M. ProARD: Progressive adversarial robustness distillation: Provide wide range of robust students // Proceedings of the International Joint Conference on Neural Networks. Piscataway, New Jersey : IEEE, 2025. 8 p. : ill. https://doi.org/10.1109/IJCNN64981.2025.11227836