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Enabling Practical and Privacy-Preserving Image Processing

Enabling Practical and Privacy-Preserving Image Processing

5 September 2024
Chao Wang
Shubing Yang
Xiaoyan Sun
Jun Dai
Dongfang Zhao
    PICV
ArXiv (abs)PDFHTML

Papers citing "Enabling Practical and Privacy-Preserving Image Processing"

5 / 5 papers shown
Title
BTS: An Accelerator for Bootstrappable Fully Homomorphic Encryption
BTS: An Accelerator for Bootstrappable Fully Homomorphic Encryption
Sangpyo Kim
Jongmin Kim
M. Kim
Wonkyung Jung
Minsoo Rhu
John Kim
Jung Ho Ahn
55
146
0
31 Dec 2021
Accelerating Encrypted Computing on Intel GPUs
Accelerating Encrypted Computing on Intel GPUs
Yujia Zhai
Mohannad Ibrahim
Yiqin Qiu
Fabian Boemer
Zizhong Chen
Alexey Titov
Alexander Lyashevsky
111
26
0
29 Sep 2021
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
80
250
0
14 Jun 2021
TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic
  Encryption
TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption
Ayoub Benaissa
Bilal Retiat
Bogdan Cebere
Alaa Eddine Belfedhal
FedML
89
136
0
07 Apr 2021
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on
  Encrypted Data
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data
Fabian Boemer
Anamaria Costache
Rosario Cammarota
Casimir Wierzynski
GNN
108
172
0
12 Aug 2019
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