%0 Conference Paper %1 conf/wacv/KunduSPB23 %A Kundu, Souvik %A Sundaresan, Sairam %A Pedram, Massoud %A Beerel, Peter A. %B WACV %D 2023 %I IEEE %K dblp %P 2348-2357 %T FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-off between Accuracy and Robustness. %U http://dblp.uni-trier.de/db/conf/wacv/wacv2023.html#KunduSPB23 %@ 978-1-6654-9346-8

@inproceedings{conf/wacv/KunduSPB23, added-at = {2024-05-07T00:00:00.000+0200}, author = {Kundu, Souvik and Sundaresan, Sairam and Pedram, Massoud and Beerel, Peter A.}, biburl = {https://www.bibsonomy.org/bibtex/24a1b8809516b95d92cde9ec25c95e556/dblp}, booktitle = {WACV}, crossref = {conf/wacv/2023}, ee = {https://doi.org/10.1109/WACV56688.2023.00238}, interhash = {af3fc8be4c78ebc83f45881d79741f85}, intrahash = {4a1b8809516b95d92cde9ec25c95e556}, isbn = {978-1-6654-9346-8}, keywords = {dblp}, pages = {2348-2357}, publisher = {IEEE}, timestamp = {2024-05-13T08:25:35.000+0200}, title = {FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-off between Accuracy and Robustness.}, url = {http://dblp.uni-trier.de/db/conf/wacv/wacv2023.html#KunduSPB23}, year = 2023 }