We present an algorithm for post-processing anonymized queries that prevents anonymity attacks using multiple released queries. This algorithm can be used with ...
We present an algo- rithm for post-processing anonymized queries that prevents anonymity attacks using multiple released queries. This al- gorithm can be used ...
ABSTRACT. This paper addresses the scenario of multi-release anonymiza- tion of datasets. We consider dynamic datasets where data.
Generically Extending Anonymization Algorithms to Deal with Successive Queries · Document Type. Proceedings Paper · Year published. 2012 · Published. in ACM ...
This paper systematically characterize the correspondence attacks and proposes an efficient anonymization algorithm to thwart the attacks in the model of ...
De-identification and anonymization are strategies that are used to remove patient identifiers in electronic health record (EHR) data.
In this paper, we study a novel anonymization property called -anonymity that we explicitly design to deal with data streams.
Data generalization is a powerful technique for sanitizing multi-attribute data for publication. In a multidimensional model, a subset of attributes called ...
This paper analyzes various inference channels that may exist in multiple anonymized datasets and discusses how to avoid such inferences, and presents an ...
In this paper we consider the problem of anonymizing datasets in which each individual is associated with a set of items that constitute private information ...
Missing: Generically successive