Using the Strongest Adversarial Example to Alleviate Robust Overfitting

Ce Xu, Xiu Tang, Peng Lu. Using the Strongest Adversarial Example to Alleviate Robust Overfitting. In Weitong Chen, Lina Yao 0001, Taotao Cai, Shirui Pan, Tao Shen, Xue Li 0001, editors, Advanced Data Mining and Applications - 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part II. Volume 13726 of Lecture Notes in Computer Science, pages 365-378, Springer, 2022. [doi]

@inproceedings{XuTL22,
  title = {Using the Strongest Adversarial Example to Alleviate Robust Overfitting},
  author = {Ce Xu and Xiu Tang and Peng Lu},
  year = {2022},
  doi = {10.1007/978-3-031-22137-8_27},
  url = {https://doi.org/10.1007/978-3-031-22137-8_27},
  researchr = {https://researchr.org/publication/XuTL22},
  cites = {0},
  citedby = {0},
  pages = {365-378},
  booktitle = {Advanced Data Mining and Applications - 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part II},
  editor = {Weitong Chen and Lina Yao 0001 and Taotao Cai and Shirui Pan and Tao Shen and Xue Li 0001},
  volume = {13726},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-22137-8},
}