@inproceedings{cohen-etal-2026-small,
    title = "Small Data, Big Noise: Adversarial Training for Robust {P}arameter{E}fficient Fine-Tuning",
    author = "Cohen, Eitan  and
      Simai, Idan  and
      Shaham, Uri",
    editor = "Liakata, Maria  and
      Moreira, Viviane P.  and
      Zhang, Jiajun  and
      Jurgens, David",
    booktitle = "Findings of the {A}ssociation for {C}omputational {L}inguistics: {ACL} 2026",
    month = jul,
    year = "2026",
    address = "San Diego, California, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl/2026.findings-acl.2014/",
    pages = "40509--40532",
    ISBN = "979-8-89176-395-1"
}