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SHE: A Fast and Accurate Deep Neural Network for Encrypted Data

SHE: A Fast and Accurate Deep Neural Network for Encrypted Data

1 June 2019
Qian Lou
Lei Jiang
ArXivPDFHTML

Papers citing "SHE: A Fast and Accurate Deep Neural Network for Encrypted Data"

17 / 17 papers shown
Title
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
68
2
0
15 Mar 2025
TFHE-SBC: Software Designs for Fully Homomorphic Encryption over the Torus on Single Board Computers
TFHE-SBC: Software Designs for Fully Homomorphic Encryption over the Torus on Single Board Computers
Marin Matsumoto
Ai Nozaki
Hideki Takase
M. Oguchi
48
0
0
04 Mar 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
64
2
0
24 Feb 2025
SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models
SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models
Jiawen Zhang
Kejia Chen
Zunlei Feng
Jian Lou
Mingli Song
Jiaheng Liu
Xiaoyu Yang
AAML
SILM
FedML
45
1
0
02 Feb 2025
Accumulator-Aware Post-Training Quantization
Accumulator-Aware Post-Training Quantization
Ian Colbert
Fabian Grob
Giuseppe Franco
Jinjie Zhang
Rayan Saab
MQ
30
4
0
25 Sep 2024
DCT-CryptoNets: Scaling Private Inference in the Frequency Domain
DCT-CryptoNets: Scaling Private Inference in the Frequency Domain
Arjun Roy
Kaushik Roy
166
1
0
27 Aug 2024
Homomorphic WiSARDs: Efficient Weightless Neural Network training over
  encrypted data
Homomorphic WiSARDs: Efficient Weightless Neural Network training over encrypted data
Leonardo Neumann
Antonio Guimarães
Diego F. Aranha
Edson Borin
AAML
23
0
0
29 Mar 2024
Primer: Fast Private Transformer Inference on Encrypted Data
Primer: Fast Private Transformer Inference on Encrypted Data
Mengxin Zheng
Qian Lou
Lei Jiang
23
30
0
23 Mar 2023
vFHE: Verifiable Fully Homomorphic Encryption with Blind Hash
vFHE: Verifiable Fully Homomorphic Encryption with Blind Hash
Qian Lou
M. Santriaji
Ardhi Wiratama Baskara Yudha
Jiaqi Xue
Yan Solihin
FedML
20
9
0
15 Mar 2023
HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic
  Encryption-Based Neural Networks
HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic Encryption-Based Neural Networks
Donghwan Kim
J. Park
Jongmin Kim
Sangpyo Kim
Jung Ho Ahn
27
17
0
05 Feb 2023
Private and Reliable Neural Network Inference
Private and Reliable Neural Network Inference
Nikola Jovanović
Marc Fischer
Samuel Steffen
Martin Vechev
22
14
0
27 Oct 2022
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph
  Convolutional Network Inference
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference
Ran Ran
Nuo Xu
Wei Wang
Quan Gang
Jieming Yin
Wujie Wen
GNN
31
20
0
24 Sep 2022
RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for low latency
  IoT systems
RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for low latency IoT systems
Emna Baccour
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
30
12
0
27 Aug 2022
On the Evaluation of User Privacy in Deep Neural Networks using Timing
  Side Channel
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel
Shubhi Shukla
Manaar Alam
Sarani Bhattacharya
Debdeep Mukhopadhyay
Pabitra Mitra
AAML
27
2
0
01 Aug 2022
FedVLN: Privacy-preserving Federated Vision-and-Language Navigation
FedVLN: Privacy-preserving Federated Vision-and-Language Navigation
Kaiwen Zhou
Qing Guo
FedML
26
8
0
28 Mar 2022
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption
  for Deep Neural Network
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network
Joon-Woo Lee
Hyungchul Kang
Yongwoo Lee
W. Choi
Jieun Eom
...
Eunsang Lee
Junghyun Lee
Donghoon Yoo
Young-Sik Kim
Jong-Seon No
15
245
0
14 Jun 2021
Precise Approximation of Convolutional Neural Networks for
  Homomorphically Encrypted Data
Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data
Junghyun Lee
Eunsang Lee
Joon-Woo Lee
Yongjune Kim
Young-Sik Kim
Jong-Seon No
16
56
0
23 May 2021
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