Department of Mathematics, School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China
Mini Review
A Compressive Protection Way to Deal With Summed Up Data Bottleneck and Security Channel Issues
Author(s): Yaping Zhang*
This paper investigates a Compressive Security (CP) philosophy for ideal tradeoff between utility increase and protection misfortune. CP
addresses an aspect diminished subspace plan of ideally desensitized question that might be securely imparted to the general population. Based
upon the data and assessment hypothesis, this paper proposes a "differential common data" (DMI) rule to defend the security insurance (PP).
Algorithmically, DMI-ideal arrangements can be inferred by means of the Discriminant Part Investigation (DCA). In addition, DCA has two machine
learning variants that are suitable for supervised learning applications—one in the kernel space and the other in the original space. CP unifies the
conventional Information Bottleneck (IB) and Privacy Funnel (PF) and results in two constrained optimizers known as Generalized Information
Bott.. Read More»
DOI:
10.37421/1736-4337.2023.17.386
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