FARMUR: fair adversarial retraining to mitigate unfairness in robustness

author
Mousavi, Seyed Ali
statement of authorship
Seyed Ali Mousavi, Hamid Mousavi and Masoud Daneshtalab
source
Advances in Databases and Information Systems: 27th European Conference, ADBIS 2023, Barcelona, Spain, September 4–7, 2023 : proceedings
location of publication
Cham
publisher
year of publication
pages
p. 133-145
series
Lecture notes in computer science ; 13985
conference name, date
27th European Conference on Advances in Databases and Information Systems , ADBIS 2023, 4-7 September 2023
conference location
Barcelona, Spain
kvartiil
Q3
category (general)
keyword
fairness
fairness-in-robustness
robustness-bias
ISSN
0302-9743
ISBN
978-303142913-2
notes
Lecture notes in computer science (Including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics)
Bibliogr.: 46 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TTÜ department
language
inglise
Mousavi, S.A., Mousavi, H., Daneshtalab, M. FARMUR: fair adversarial retraining to mitigate unfairness in robustness // Advances in Databases and Information Systems: 27th European Conference, ADBIS 2023, Barcelona, Spain, September 4–7, 2023 : proceedings. Cham : Springer, 2023. p. 133-145. (Lecture notes in computer science ; 13985). https://doi.org/10.1007/978-3-031-42914-9_10