prindi

FARMUR: fair adversarial retraining to mitigate unfairness in robustness

pealdis
Mousavi, S.A., Mousavi, H., Daneshtalab, M.
autor
Mousavi, Seyed Ali
Mousavi, Hamid
Daneshtalab, Masoud
vastutusandmed
Seyed Ali Mousavi, Hamid Mousavi and Masoud Daneshtalab
allikas
Advances in Databases and Information Systems: 27th European Conference, ADBIS 2023, Barcelona, Spain, September 4–7, 2023 : proceedings
ilmumiskoht
Cham
kirjastus/väljaandja
ilmumisaasta
leheküljed
p. 133-145
seeria-sari
Lecture notes in computer science ; 13985
konverentsi nimetus, aeg
27th European Conference on Advances in Databases and Information Systems , ADBIS 2023, 4-7 September 2023
konverentsi toimumispaik
Barcelona, Spain
leitav
märksõna
Scopus
kvartiil
Q3
kategooria (üld)
kategooria (alam)
võtmesõna
deep neural networks
fairness
fairness-in-robustness
robustness
robustness-bias
ISSN
0302-9743
ISBN
978-303142913-2
märkused
Lecture notes in computer science (Including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics)
Bibliogr.: 46 ref
leidumus
Võrguteavik
teaduspublikatsioon
teaduspublikatsioon
klassifikaator
3.1
TTÜ struktuuriüksus
TTÜ struktuurikood
ia
maakood
ch
keel
inglise
toim. märkused
KKi 170724
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