ML Anthology

Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection

Kun Xiang, Xing Zhang, Jinwen She, Jinpeng Liu, Haohan Wang, Shiqi Deng, Shancheng Jiang
AAAI 2023 pp. 2928-2937
doi:10.1609/AAAI.V37I3.25395 /aaai/2023/xiang2023aaai-robust/
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Cite

Text

Xiang et al. "Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection." AAAI Conference on Artificial Intelligence, 2023. doi:10.1609/AAAI.V37I3.25395

Markdown

[Xiang et al. "Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection." AAAI Conference on Artificial Intelligence, 2023.](https://mlanthology.org/aaai/2023/xiang2023aaai-robust/) doi:10.1609/AAAI.V37I3.25395

BibTeX

@inproceedings{xiang2023aaai-robust,
  title     = {{Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection}},
  author    = {Xiang, Kun and Zhang, Xing and She, Jinwen and Liu, Jinpeng and Wang, Haohan and Deng, Shiqi and Jiang, Shancheng},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {2928-2937},
  doi       = {10.1609/AAAI.V37I3.25395},
  url       = {https://mlanthology.org/aaai/2023/xiang2023aaai-robust/}
}