LPDBN: A Privacy Preserving Scheme for Deep Belief Network
IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)(2021)
摘要
In recent years, the successful applications of deep learning technology bring serious privacy issues. Current countermeasures can achieve privacy protection by introducing differential privacy mechanisms to convolutional deep belief network, which will inevitably bring huge computational complexity in convolutional kernels. In this paper, we focus on designing a lightweight security privacy prote...
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关键词
Deep learning,Privacy,Differential privacy,Conferences,Data mining,Kernel,Time complexity
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