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...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2008
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/749 http://dx.doi.org/10.1007/s10115-008-0123-9 |
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| Institution: | Singapore Management University |
| Language: | English |