SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC

SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC Jinglong Luo author Yehong Zhang author Zhuo Zhang author Jiaqi Zhang author Xin Mu author Hui Wang author Yue Yu author Zenglin Xu author 2024-08 text Findings of the Association for Computational Linguistics: ACL 2024 Lun-Wei Ku editor Andre Martins editor Vivek Srikumar editor Association for Computational Linguistics Bangkok, Thailand conference publication luo-etal-2024-secformer 10.18653/v1/2024.findings-acl.790 https://aclanthology.org/2024.findings-acl.790/ 2024-08 13333 13348