@inproceedings{luo-etal-2024-secformer,
    title = "{S}ec{F}ormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via {SMPC}",
    author = "Luo, Jinglong  and
      Zhang, Yehong  and
      Zhang, Zhuo  and
      Zhang, Jiaqi  and
      Mu, Xin  and
      Wang, Hui  and
      Yu, Yue  and
      Xu, Zenglin",
    editor = "Ku, Lun-Wei  and
      Martins, Andre  and
      Srikumar, Vivek",
    booktitle = "Findings of the Association for Computational Linguistics: ACL 2024",
    month = aug,
    year = "2024",
    address = "Bangkok, Thailand",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.findings-acl.790/",
    doi = "10.18653/v1/2024.findings-acl.790",
    pages = "13333--13348"
}