Kento Hasegawa, Seira Hidano, Shinsaku Kiyomoto, Nozomu Togawa. Toward Learning Robust Detectors from Imbalanced Datasets Leveraging Weighted Adversarial Training. In Mauro Conti, Marc Stevens 0001, Stephan Krenn, editors, Cryptology and Network Security - 20th International Conference, CANS 2021, Vienna, Austria, December 13-15, 2021, Proceedings. Volume 13099 of Lecture Notes in Computer Science, pages 392-411, Springer, 2021. [doi]
@inproceedings{HasegawaHKT21,
title = {Toward Learning Robust Detectors from Imbalanced Datasets Leveraging Weighted Adversarial Training},
author = {Kento Hasegawa and Seira Hidano and Shinsaku Kiyomoto and Nozomu Togawa},
year = {2021},
doi = {10.1007/978-3-030-92548-2_21},
url = {https://doi.org/10.1007/978-3-030-92548-2_21},
researchr = {https://researchr.org/publication/HasegawaHKT21},
cites = {0},
citedby = {0},
pages = {392-411},
booktitle = {Cryptology and Network Security - 20th International Conference, CANS 2021, Vienna, Austria, December 13-15, 2021, Proceedings},
editor = {Mauro Conti and Marc Stevens 0001 and Stephan Krenn},
volume = {13099},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-92548-2},
}