Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models

Xu Han, Linghao Jin, Xuezhe Ma, Xiaofeng Liu 0001. Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models. In Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen, editors, Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024. pages 10784-10799, Association for Computational Linguistics, 2024. [doi]

@inproceedings{HanJM024,
  title = {Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models},
  author = {Xu Han and Linghao Jin and Xuezhe Ma and Xiaofeng Liu 0001},
  year = {2024},
  url = {https://aclanthology.org/2024.findings-emnlp.633},
  researchr = {https://researchr.org/publication/HanJM024},
  cites = {0},
  citedby = {0},
  pages = {10784-10799},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024},
  editor = {Yaser Al-Onaizan and Mohit Bansal and Yun-Nung Chen},
  publisher = {Association for Computational Linguistics},
  isbn = {979-8-89176-168-1},
}