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Sphynx: ReLU-Efficient Network Design for Private Inference

Sphynx: ReLU-Efficient Network Design for Private Inference

17 June 2021
Minsu Cho
Zahra Ghodsi
Brandon Reagen
S. Garg
Chinmay Hegde
ArXiv (abs)PDFHTML

Papers citing "Sphynx: ReLU-Efficient Network Design for Private Inference"

3 / 3 papers shown
Title
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
Hongwu Peng
Shaoyi Huang
Tong Zhou
Yukui Luo
Chenghong Wang
...
Tony Geng
Kaleel Mahmood
Wujie Wen
Xiaolin Xu
Caiwen Ding
OffRL
149
38
0
20 Aug 2023
Selective Network Linearization for Efficient Private Inference
Selective Network Linearization for Efficient Private Inference
Minsu Cho
Ameya Joshi
S. Garg
Brandon Reagen
Chinmay Hegde
88
43
0
04 Feb 2022
AESPA: Accuracy Preserving Low-degree Polynomial Activation for Fast
  Private Inference
AESPA: Accuracy Preserving Low-degree Polynomial Activation for Fast Private Inference
J. Park
M. Kim
Wonkyung Jung
Jung Ho Ahn
LLMSV
77
29
0
18 Jan 2022
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