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Dual-branch networks for privacy-preserving cross-modal retrieval in cloud computing

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成果类型:
期刊论文
作者:
Peng, Jianting;Xiang, Xuyu;Qin, Jiaohua;Tan, Yun
通讯作者:
Xuyu Xiang
作者机构:
[Peng, Jianting; Xiang, Xuyu; Qin, Jiaohua; Tan, Yun] College of Computer Science and Information Technology, Central South University of Forestry and Technology, Changsha, China
通讯机构:
[Xuyu Xiang] C
College of Computer Science and Information Technology, Central South University of Forestry and Technology, Changsha, China
语种:
英文
关键词:
Privacy-preserving;Cross-modal retrieval;Searchable encryption;Convolutional neural network;Cloud computing
期刊:
JOURNAL OF SUPERCOMPUTING
ISSN:
0920-8542
年:
2025
卷:
81
期:
1
页码:
1-21
机构署名:
本校为第一且通讯机构
院系归属:
计算机与信息工程学院
摘要:
Cross-modal retrieval can break through the limitations of modalities and carry out information retrieval across data of different modalities to meet the needs of users in obtaining multi-modal correlation retrieval. Cloud computing has the advantages of high efficiency and low cost, but data security hinders its development. While cloud computing offers high efficiency and cost-effectiveness, concerns surrounding data security impede its full potential. Privacy-preserving cross-modal retrieval emerges as a viable solution, catering to users’ ...

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