In this paper, we aim to construct a privacy-preserving feature detection scheme over encrypted image data. The proposed system enables an interested party to ...
Abstract—The amount and availability of user-contributed image data have been dramatically increased during the past ten years.
A privacy-preserving feature detection scheme over encrypted image data that enables an interested party to perform a variety of image feature detection ...
In this paper, we aim to construct a privacy-preserving feature detection scheme over encrypted image data. The proposed system enables an interested party to ...
In this paper, we present a framework for privacy-preserving outsourced image feature extraction(POIFE)-see Fig. 1. The system comprises a Cloud Server(CS), an ...
Privacy-preserving outsourcing of image global feature detection. Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 ...
We present a framework for privacy-preserving outsourced image feature Extraction(POIFE) in the semi-honest setting. Also we prove that the construction is ...
Now the challenging problem is how to enable privacy-preserving image feature extractions over massive image data while apparently relieving the database owner.
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Mar 8, 2023 · We propose a scheme for flexible privacy-preserving outsourcing medical image classification based on a convolutional neural network to the cloud.
Oct 22, 2024 · We first propose a scheme in which the client encrypts his private image data locally and outsources the corresponding results to a company. The ...