Light weighted privacy protection ViT inference framework based on secret sharing

The ViT (vision transformer) inference framework, which was widely used in image processing, was found to have a risk of leaking user privacy data. However, existing privacy protection inference frameworks had problems such as low computational efficiency and high online communication volume. To add...

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Main Authors: MA Min, FU Yu, HUANG Kai, JIA Xiaofeng
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2024-04-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024025/
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author MA Min
FU Yu
HUANG Kai
JIA Xiaofeng
author_facet MA Min
FU Yu
HUANG Kai
JIA Xiaofeng
author_sort MA Min
collection DOAJ
description The ViT (vision transformer) inference framework, which was widely used in image processing, was found to have a risk of leaking user privacy data. However, existing privacy protection inference frameworks had problems such as low computational efficiency and high online communication volume. To address this issue, a highly efficient privacy protection inference framework SViT was proposed. Two edge servers collaborated to execute secure computing protocols based on secret sharing design, such as SSoftmax, SLayerNorm, SGeLU, etc. While maintaining the original framework structure of ViT-B/16, the problem of large inference overhead in privacy protection framework was solved. Theoretical analysis and experiments show that compared to Crypton, SViT has improved computational efficiency by 2~6 times and online communication overhead by 4~14 times, respectively.
format Article
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institution Kabale University
issn 1000-436X
language zho
publishDate 2024-04-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-1a23f3564de643069a09c1eb8766cc132025-01-14T07:24:18ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2024-04-0145273859255262Light weighted privacy protection ViT inference framework based on secret sharingMA MinFU YuHUANG KaiJIA XiaofengThe ViT (vision transformer) inference framework, which was widely used in image processing, was found to have a risk of leaking user privacy data. However, existing privacy protection inference frameworks had problems such as low computational efficiency and high online communication volume. To address this issue, a highly efficient privacy protection inference framework SViT was proposed. Two edge servers collaborated to execute secure computing protocols based on secret sharing design, such as SSoftmax, SLayerNorm, SGeLU, etc. While maintaining the original framework structure of ViT-B/16, the problem of large inference overhead in privacy protection framework was solved. Theoretical analysis and experiments show that compared to Crypton, SViT has improved computational efficiency by 2~6 times and online communication overhead by 4~14 times, respectively.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024025/privacy protectionsecret sharingimage classificationsecure computing protocol
spellingShingle MA Min
FU Yu
HUANG Kai
JIA Xiaofeng
Light weighted privacy protection ViT inference framework based on secret sharing
Tongxin xuebao
privacy protection
secret sharing
image classification
secure computing protocol
title Light weighted privacy protection ViT inference framework based on secret sharing
title_full Light weighted privacy protection ViT inference framework based on secret sharing
title_fullStr Light weighted privacy protection ViT inference framework based on secret sharing
title_full_unstemmed Light weighted privacy protection ViT inference framework based on secret sharing
title_short Light weighted privacy protection ViT inference framework based on secret sharing
title_sort light weighted privacy protection vit inference framework based on secret sharing
topic privacy protection
secret sharing
image classification
secure computing protocol
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024025/
work_keys_str_mv AT mamin lightweightedprivacyprotectionvitinferenceframeworkbasedonsecretsharing
AT fuyu lightweightedprivacyprotectionvitinferenceframeworkbasedonsecretsharing
AT huangkai lightweightedprivacyprotectionvitinferenceframeworkbasedonsecretsharing
AT jiaxiaofeng lightweightedprivacyprotectionvitinferenceframeworkbasedonsecretsharing