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HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic
  Encryption-Based Neural Networks
v1v2 (latest)

HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic Encryption-Based Neural Networks

IEEE Access (IEEE Access), 2023
5 February 2023
Donghwan Kim
J. Park
Jongmin Kim
Sangpyo Kim
Jung Ho Ahn
ArXiv (abs)PDFHTMLGithub

Papers citing "HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic Encryption-Based Neural Networks"

12 / 12 papers shown
Peregrine: One-Shot Fine-Tuning for FHE Inference of General Deep CNNs
Peregrine: One-Shot Fine-Tuning for FHE Inference of General Deep CNNs
Huaming Ling
Ying Wang
Si-Quan Chen
Junfeng Fan
AAML
253
0
0
24 Nov 2025
CryptoFace: End-to-End Encrypted Face Recognition
CryptoFace: End-to-End Encrypted Face RecognitionComputer Vision and Pattern Recognition (CVPR), 2025
Wei Ao
Vishnu Boddeti
PICVFedML
330
5
0
30 Aug 2025
Cheddar: A Swift Fully Homomorphic Encryption Library Designed for GPU Architectures
Cheddar: A Swift Fully Homomorphic Encryption Library Designed for GPU Architectures
Wonseok Choi
Jongmin Kim
Jung Ho Ahn
FedML
405
8
0
17 Jul 2024
Secure Outsourced Decryption for FHE-based Privacy-preserving Cloud
  Computing
Secure Outsourced Decryption for FHE-based Privacy-preserving Cloud Computing
Xirong Ma
Chuan Li
Yuchang Hu
Yunting Tao
Yali Jiang
Yanbin Li
Fanyu Kong
Chunpeng Ge
301
1
0
28 Jun 2024
HEQuant: Marrying Homomorphic Encryption and Quantization for
  Communication-Efficient Private Inference
HEQuant: Marrying Homomorphic Encryption and Quantization for Communication-Efficient Private Inference
Tianshi Xu
Meng Li
Runsheng Wang
344
3
0
29 Jan 2024
CiFlow: Dataflow Analysis and Optimization of Key Switching for
  Homomorphic Encryption
CiFlow: Dataflow Analysis and Optimization of Key Switching for Homomorphic EncryptionIEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2023
Negar Neda
Austin Ebel
Benedict Reynwar
Brandon Reagen
525
11
0
02 Nov 2023
Toward Practical Privacy-Preserving Convolutional Neural Networks
  Exploiting Fully Homomorphic Encryption
Toward Practical Privacy-Preserving Convolutional Neural Networks Exploiting Fully Homomorphic Encryption
J. Park
Donghwan Kim
Jongmin Kim
Sangpyo Kim
Wonkyung Jung
Jung Hee Cheon
Jung Ho Ahn
FedML
252
12
0
25 Oct 2023
Optimized Layerwise Approximation for Efficient Private Inference on Fully Homomorphic Encryption
Optimized Layerwise Approximation for Efficient Private Inference on Fully Homomorphic Encryption
Junghyun Lee
Eunsang Lee
Young-Sik Kim
Yongwoo Lee
Joon-Woo Lee
Yongjune Kim
Jong-Seon No
353
3
0
16 Oct 2023
GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic
  Encryption
GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic EncryptionMicro (MICRO), 2023
Kaustubh Shivdikar
Yuhui Bao
R. Agrawal
M. Shen
Gilbert Jonatan
...
Neal Livesay
José L. Abellán
John Kim
Ajay Joshi
David Kaeli
196
46
0
20 Sep 2023
Approximating ReLU on a Reduced Ring for Efficient MPC-based Private
  Inference
Approximating ReLU on a Reduced Ring for Efficient MPC-based Private Inference
Kiwan Maeng
G. E. Suh
264
5
0
09 Sep 2023
Falcon: Accelerating Homomorphically Encrypted Convolutions for
  Efficient Private Mobile Network Inference
Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference
Tianshi Xu
Meng Li
Runsheng Wang
R. Huang
FedML
212
12
0
25 Aug 2023
Training Large Scale Polynomial CNNs for E2E Inference over Homomorphic
  Encryption
Training Large Scale Polynomial CNNs for E2E Inference over Homomorphic Encryption
Moran Baruch
Nir Drucker
Gilad Ezov
Yoav Goldberg
Eyal Kushnir
Jenny Lerner
Omri Soceanu
Itamar Zimerman
367
7
0
26 Apr 2023
1
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