A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data.

Wentao Wang|Harry Shomer|Yuxuan Wan|Yaxin Li|Jiangtao Huang|Hui Liu


Anthology ID:DBLP:conf/cikm/0006SWLHL23
Volume:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
Year:2023
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:2637-2645
URL:https://doi.org/10.1145/3583780.3614762
DOI:https://doi.org/10.1145/3583780.3614762
DBLP:conf/cikm/0006SWLHL23
BibTeX:
@inproceedings{wang-2023-mixup, author = {Wentao Wang and Harry Shomer and Yuxuan Wan and Yaxin Li and Jiangtao Huang and Hui Liu}, editor = {Ingo Frommholz and Frank Hopfgartner and Mark Lee and Michael P. Oakes and Mounia Lalmas-Roelleke and Min Zhang and Rodrygo L. T. Santos}, title = {{A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data}}, booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}}, pages = {2637--2645}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3583780.3614762}, doi = {https://doi.org/10.1145/3583780.3614762} }