Utility of Differentially Private Synthetic Data Generation for High-Dimensional Databases

When processing data that contains sensitive information, careful consideration is required with regard to privacy-preservation to prevent disclosure of confidential information. Privacy engineering enables one to extract valuable patterns, safely, without compromising anyone’s privacy. Over the las...

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Bibliographic Details
Main Author: Knoors, Daan
Format: Others
Language:English
Published: KTH, Skolan för elektroteknik och datavetenskap (EECS) 2018
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235640