@inproceedings{lin-etal-2026-uniguardian,
    title = "{U}ni{G}uardian: A Unified Defense for Detecting Prompt Injection, Backdoor Attacks and Adversarial Attacks in Large Language Models",
    author = "Lin, Huawei  and
      Lao, Yingjie  and
      Geng, Tony  and
      YU, Tan  and
      Zhao, Weijie",
    editor = "Zhang, Yue  and
      Xu, Ruifeng  and
      Purwarianti, Ayu  and
      Rong, Tong  and
      Suzuki, Jun",
    booktitle = "Findings of the {A}ssociation for {C}omputational {L}inguistics: {IJCNLP}-{AACL} 2026",
    month = nov,
    year = "2026",
    address = "Hengqin, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.findings-aacl.119/",
    pages = "2338--2362",
    ISBN = "979-8-89176-444-6"
}