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Primer: Fast Private Transformer Inference on Encrypted Data

Primer: Fast Private Transformer Inference on Encrypted Data

23 March 2023
Mengxin Zheng
Qian Lou
Lei Jiang
ArXivPDFHTML

Papers citing "Primer: Fast Private Transformer Inference on Encrypted Data"

21 / 21 papers shown
Title
Private Transformer Inference in MLaaS: A Survey
Private Transformer Inference in MLaaS: A Survey
Yang Li
Xinyu Zhou
Yishuo Wang
Liangxin Qian
Jun Zhao
21
0
0
15 May 2025
zkVC: Fast Zero-Knowledge Proof for Private and Verifiable Computing
zkVC: Fast Zero-Knowledge Proof for Private and Verifiable Computing
Yancheng Zhang
Mengxin Zheng
Xun Chen
Jingtong Hu
W. Shi
Lei Ju
Yan Solihin
Qian Lou
51
0
0
16 Apr 2025
Measuring Computational Universality of Fully Homomorphic Encryption
Measuring Computational Universality of Fully Homomorphic Encryption
Jiaqi Xue
Xin Xin
Wei-na Zhang
Mengxin Zheng
Qianqian Song
...
Jiafeng Xie
Liqiang Wang
David Mohaisen
Hongyi Wu
Qian Lou
FedML
48
0
0
15 Apr 2025
TFHE-Coder: Evaluating LLM-agentic Fully Homomorphic Encryption Code Generation
TFHE-Coder: Evaluating LLM-agentic Fully Homomorphic Encryption Code Generation
Mayank Kumar
Jinbao Xue
Mengxin Zheng
Qian Lou
62
2
0
15 Mar 2025
APINT: A Full-Stack Framework for Acceleration of Privacy-Preserving Inference of Transformers based on Garbled Circuits
APINT: A Full-Stack Framework for Acceleration of Privacy-Preserving Inference of Transformers based on Garbled Circuits
Hyunjun Cho
Jaeho Jeon
Jaehoon Heo
Joo-Young Kim
44
0
0
24 Feb 2025
CipherPrune: Efficient and Scalable Private Transformer Inference
CipherPrune: Efficient and Scalable Private Transformer Inference
Yancheng Zhang
Jinbao Xue
Mengxin Zheng
Mimi Xie
Mingzhe Zhang
Lei Jiang
Qian Lou
59
2
0
24 Feb 2025
TruncFormer: Private LLM Inference Using Only Truncations
TruncFormer: Private LLM Inference Using Only Truncations
Patrick Yubeaton
Jianqiao Mo
Karthik Garimella
N. Jha
Brandon Reagen
Chinmay Hegde
Siddharth Garg
74
0
0
02 Dec 2024
Power-Softmax: Towards Secure LLM Inference over Encrypted Data
Power-Softmax: Towards Secure LLM Inference over Encrypted Data
Itamar Zimerman
Allon Adir
E. Aharoni
Matan Avitan
Moran Baruch
Nir Drucker
Jenny Lerner
Ramy Masalha
Reut Meiri
Omri Soceanu
30
2
0
12 Oct 2024
CryptoTrain: Fast Secure Training on Encrypted Dataset
CryptoTrain: Fast Secure Training on Encrypted Dataset
Jiaqi Xue
Yancheng Zhang
YanShan Wang
Xueqiang Wang
Hao Zheng
Qian Lou
24
3
0
25 Sep 2024
Unique Security and Privacy Threats of Large Language Model: A
  Comprehensive Survey
Unique Security and Privacy Threats of Large Language Model: A Comprehensive Survey
Shang Wang
Tianqing Zhu
Bo Liu
Ming Ding
Xu Guo
Dayong Ye
Wanlei Zhou
Philip S. Yu
PILM
67
17
0
12 Jun 2024
Deconstructing The Ethics of Large Language Models from Long-standing
  Issues to New-emerging Dilemmas
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas
Chengyuan Deng
Yiqun Duan
Xin Jin
Heng Chang
Yijun Tian
...
Kuofeng Gao
Sihong He
Jun Zhuang
Lu Cheng
Haohan Wang
AILaw
43
16
0
08 Jun 2024
PrivacyRestore: Privacy-Preserving Inference in Large Language Models
  via Privacy Removal and Restoration
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration
Ziqian Zeng
Jianwei Wang
Zhengdong Lu
Huiping Zhuang
Cen Chen
RALM
KELM
45
7
0
03 Jun 2024
CipherFormer: Efficient Transformer Private Inference with Low Round
  Complexity
CipherFormer: Efficient Transformer Private Inference with Low Round Complexity
Weize Wang
Yi Kuang
23
0
0
25 Mar 2024
SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for
  Large Language Models
SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models
Jinglong Luo
Yehong Zhang
Zhuo Zhang
Jiaqi Zhang
Xin Mu
Hui Wang
Yue Yu
Zenglin Xu
49
9
0
01 Jan 2024
Grounding Foundation Models through Federated Transfer Learning: A
  General Framework
Grounding Foundation Models through Federated Transfer Learning: A General Framework
Yan Kang
Tao Fan
Hanlin Gu
Xiaojin Zhang
Lixin Fan
Qiang Yang
AI4CE
68
19
0
29 Nov 2023
Converting Transformers to Polynomial Form for Secure Inference Over
  Homomorphic Encryption
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption
Itamar Zimerman
Moran Baruch
Nir Drucker
Gilad Ezov
Omri Soceanu
Lior Wolf
18
15
0
15 Nov 2023
Privacy in Large Language Models: Attacks, Defenses and Future
  Directions
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
East: Efficient and Accurate Secure Transformer Framework for Inference
East: Efficient and Accurate Secure Transformer Framework for Inference
Yuanchao Ding
Hua Guo
Yewei Guan
Weixin Liu
Jiarong Huo
Zhenyu Guan
Xiyong Zhang
16
17
0
19 Aug 2023
DeepReShape: Redesigning Neural Networks for Efficient Private Inference
DeepReShape: Redesigning Neural Networks for Efficient Private Inference
N. Jha
Brandon Reagen
33
10
0
20 Apr 2023
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,959
0
20 Apr 2018
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,746
0
26 Sep 2016
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