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SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models
1 January 2024
Jinglong Luo
Yehong Zhang
Zhuo Zhang
Jiaqi Zhang
Xin Mu
Hui Wang
Yue Yu
Zenglin Xu
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Papers citing
"SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models"
7 / 7 papers shown
Title
Private Transformer Inference in MLaaS: A Survey
Yang Li
Xinyu Zhou
Yishuo Wang
Liangxin Qian
Jun Zhao
21
0
0
15 May 2025
A Survey on Privacy Risks and Protection in Large Language Models
Kang Chen
Xiuze Zhou
Yuanguo Lin
Shibo Feng
Li Shen
Pengcheng Wu
AILaw
PILM
147
0
0
04 May 2025
MPCache: MPC-Friendly KV Cache Eviction for Efficient Private Large Language Model Inference
Wenxuan Zeng
Ye Dong
Jinjin Zhou
Junming Ma
Jin Tan
Runsheng Wang
Meng Li
49
0
0
12 Jan 2025
Privacy in Large Language Models: Attacks, Defenses and Future Directions
Haoran Li
Yulin Chen
Jinglong Luo
Yan Kang
Xiaojin Zhang
Qi Hu
Chunkit Chan
Yangqiu Song
PILM
45
42
0
16 Oct 2023
Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence
Haoran Li
Mingshi Xu
Yangqiu Song
87
45
0
04 May 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy
Yifei Zhang
Dun Zeng
Jinglong Luo
Zenglin Xu
Irwin King
FedML
84
47
0
21 Feb 2023
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
313
11,953
0
04 Mar 2022
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