@inproceedings{zhou-etal-2025-parameter,
    title = "Parameter-free and Accessible Prompt Learning to Enhance Adversarial Robustness for Pre-trained Vision-Language Models",
    author = "Zhou, Xingran  and
      Yang, Kun  and
      Miao, Changtao  and
      Hu, Bingyu  and
      Xu, Zhuoer  and
      Cui, Shiwen  and
      Meng, Changhua  and
      Hong, Dan",
    editor = "Chiruzzo, Luis  and
      Ritter, Alan  and
      Wang, Lu",
    booktitle = "Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)",
    month = apr,
    year = "2025",
    address = "Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/Ingest-2025-COMPUTEL/2025.naacl-long.33/",
    pages = "751--761",
    ISBN = "979-8-89176-189-6"
}