Strengthening the Transferability of Adversarial Examples Using Advanced Looking Ahead and Self-CutMix

Donggon Jang, Sanghyeok Son, Dae-Shik Kim. Strengthening the Transferability of Adversarial Examples Using Advanced Looking Ahead and Self-CutMix. In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2022, New Orleans, LA, USA, June 19-20, 2022. pages 147-154, IEEE, 2022. [doi]

@inproceedings{JangSK22-0,
  title = {Strengthening the Transferability of Adversarial Examples Using Advanced Looking Ahead and Self-CutMix},
  author = {Donggon Jang and Sanghyeok Son and Dae-Shik Kim},
  year = {2022},
  doi = {10.1109/CVPRW56347.2022.00026},
  url = {https://doi.org/10.1109/CVPRW56347.2022.00026},
  researchr = {https://researchr.org/publication/JangSK22-0},
  cites = {0},
  citedby = {0},
  pages = {147-154},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2022, New Orleans, LA, USA, June 19-20, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-8739-9},
}