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Manyun Lin

As seen in: MDPI
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Articles

DeepDR: A Two-Level Deep Defect Recognition Framework for Meteorological Satellite Images

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By Xiangang Zhao, Xiangyu Chang, Cunqun Fan, Manyun Lin
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Cloud-Assisted Private Set Intersection via Multi-Key Fully Homomorphic Encryption

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By Lan Wei, Cunqun Fan, Peiheng Jia, Manyun Lin
| MDPI
Abstract : With the development of cloud computing and big data, secure multi-party computation, which can collaborate with multiple parties to deal with a large number of transactions, plays an important role in protecting privacy. Private set intersection (PSI), a form of multi-party secure computation, is a formidable cryptographic technique that allows the sender and the receiver to calculate their intersection and not reveal any more information.
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