@inproceedings{luo-etal-2025-centaur,
    title = "{CENTAUR}: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference",
    author = "Luo, Jinglong  and
      Chen, Guanzhong  and
      Zhang, Yehong  and
      Liu, Shiyu  and
      Wang, Hui  and
      Yu, Yue  and
      Zhou, Xun  and
      Qi, Yuan  and
      Xu, Zenglin",
    editor = "Che, Wanxiang  and
      Nabende, Joyce  and
      Shutova, Ekaterina  and
      Pilehvar, Mohammad Taher",
    booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/2025.acl-long.1109/",
    pages = "22751--22770",
    ISBN = "979-8-89176-251-0"
}