Jan 25, 2017 · In this paper, we initiate the first endeavor toward privacy-preserving image denoising from external cloud databases. Our design enables the ...
Zheng et al., [48] propose a privacy-preserving image denoising technique from external cloud databases, which enables the cloud hosting encrypted databases to ...
: PRIVACY-PRESERVING IMAGE DENOISING FROM EXTERNAL CLOUD DATABASES. 1289 prepares garbled circuits for the cloud, who then acts as an evaluator to securely ...
Privacy-Preserving Image Denoising from External Cloud Databases
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Privacy-Preserving Image Denoising from External Cloud Databases. Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed ...
Zheng et al. (2017) proposed a privacy-preserving image denoising protocol from external cloud databases by using secure similarity search and Yao's garbled ...
Mar 21, 2023 · Providing privacy to the medical records through adding noise and denoising the same records is the proposed idea. The proposed work is keenly ...
Bibliographic details on Privacy-Preserving Image Denoising From External Cloud Databases.
Privacy-Preserving Image Denoising from External Cloud Databases. Research output: Journal Publications and Reviews › Publication in refereed journal.
Jul 6, 2022 · We resort to state-of-the-art image denoising techniques based on deep neural networks (DNNs), and show how to uniquely bridge cryptographic ...
Zheng et al. [9] proposed a privacy-preserving image denoising protocol from external cloud databases by using secure similarity search, Yao's garbled cir-.