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• W2937391505 abstract "Abstract Privacy-protected signal and image processing for outsourced computing has hence recently been popular. We present a framework for privacy-preserving outsourced image feature Extraction(POIFE) in the semi-honest setting. Also we prove that the construction is simulation-based secure under the semi-honest adversaries. In our scheme, the user can be flexible to outsource his computation to the cloud without real-time online. Compared with the previous works, our solution improves privacy." @default.
• W2937391505 created "2019-04-25" @default.
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• W2937391505 date "2019-08-01" @default.
• W2937391505 modified "2023-10-17" @default.
• W2937391505 title "Privacy-preserving outsourced image feature extraction" @default.
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• W2937391505 doi "https://doi.org/10.1016/j.jisa.2019.03.020" @default.
• W2937391505 hasPublicationYear "2019" @default.
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