Enhancing Data Privacy Protection and Feature Extraction in Secure Computing Using a Hash Tree and Skip Attention Mechanism

This paper addresses the critical challenge of secure computing in the context of deep learning, focusing on the pressing need for effective data privacy protection during transmission and storage, particularly in sensitive fields such as finance and healthcare. To tackle this issue, we propose a no...

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Auteurs principaux:	Zizhe Zhou, Yaqi Wang, Lin Cong, Yujing Song, Tianyue Li, Meishu Li, Keyi Xu, Chunli Lv
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2024-11-01
Collection:	Applied Sciences
Sujets:	data privacy protection deep learning encryption visualization skip loss function
Accès en ligne:	https://www.mdpi.com/2076-3417/14/22/10687
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