BibTeX
@inproceedings{Medi_WACV25, TITLE = {{FAIR}-{TAT}: Improving Model Fairness Using Targeted Adversarial Training}, AUTHOR = {Medi, Tejaswini and Jung, Steffen and Keuper, Margret}, LANGUAGE = {eng}, ISBN = {979-8-3315-1083-1}, DOI = {10.1109/WACV61041.2025.00760}, PUBLISHER = {IEEE}, YEAR = {2025}, MARGINALMARK = {$\bullet$}, DATE = {2025}, BOOKTITLE = {IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2025)}, PAGES = {7827--7836}, ADDRESS = {Tucson, AZ, USA}, }
Endnote
%0 Conference Proceedings %A Medi, Tejaswini %A Jung, Steffen %A Keuper, Margret %+ External Organizations Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society %T FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training : %G eng %U http://hdl.handle.net/21.11116/0000-0010-5E2E-3 %R 10.1109/WACV61041.2025.00760 %D 2025 %B IEEE/CVF Winter Conference on Applications of Computer Vision %Z date of event: 2025-02-28 - 2025-03-04 %C Tucson, AZ, USA %B IEEE/CVF Winter Conference on Applications of Computer Vision %P 7827 - 7836 %I IEEE %@ 979-8-3315-1083-1