Determining Error Bounds for Spectral Filtering Based Reconstruction Methods in Privacy Preserving Data Mining

Additive randomization has been a primary tool for hiding sensitive private information. Previous work empirically showed that individual data values can be approximately reconstructed from the perturbed values, using spectral filtering techniques. This poses a serious threat of privacy breaches. In...

Full description

Saved in:
Bibliographic Details
Main Authors: GUO, Songtao, Wu, Xintao, LI, Yingjiu
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2008
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/749
http://dx.doi.org/10.1007/s10115-008-0123-9
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Similar Items