In the context of Statistical Disclosure Control, microaggregation is a privacy-preserving
method aimed to mask sensitive microdata prior to publication. It iteratively creates clusters …

Data privacy is now a hot topic. Big data have increased its importance. Nevertheless,
computational methods for data privacy have been studied and developed since the 70s, at …

Centroids are key components in many data analysis algorithms such as clustering or
microaggregation. They are considered as the central value that minimises the distance to …

Query logs are of great interest for scientists and companies for research, statistical and
commercial purposes. However, the availability of query logs for secondary uses raises …

Privacy-Preserving Data Publishing (PPDP) has become a critical issue for companies and
organizations that would release their data. k-Anonymization was proposed as a first …

Privacy preserving data mining tools only use in a limited way information and knowledge
other than the data base being protected. In this paper we plead on the need of knowledge …

Web search engines gather information from the queries performed by the user in the form of
query logs. These logs are extremely useful for research, marketing, or profiling, but at the …

Web query logs provide a rich wealth of information, but also present serious privacy risks.
We preserve privacy in publishing vocabularies extracted from a web query log by …

After a brief description of k-anonymity, l-diversity and t-closeness techniques, the paper
presents the Discrimination Rate (DR) as a new metric based on information theory for …

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