intro contributions
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\paragraph{Privacy, space and time}
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The first contribution of this thesis is the survey of the existing literature regarding methods on privacy-preserving continuous data publishing.
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The first contribution of this thesis is the survey\kat{cite it here} of the existing literature regarding methods on privacy-preserving continuous data publishing, which appeared in \kat{name the journal and the special issue}.
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We study works that were published over the past two decades and provide a guide that will navigate its users through the available methodology and help them select the algorithm(s) that fit(s) best their needs.
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We categorize the works that we review depending on if they deal with \emph{microdata} or \emph{statistical data}.
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We extensively evaluate the methods that we propose by conducting experiments on real and synthetic data sets.
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We compare {\thething} privacy with event- and user-level privacy protection, and investigates the behavior of the overall privacy loss under temporal correlation for different distributions of {\thethings}.
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Furthermore, we estimate the impact of the privacy-preserving dummy {\thething} selection module on the utility of our privacy scheme.
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The second and the third contributions are described in the article \kat{cite the technical report}, which is submitted at the research papers track at the \kat{name the conference}.
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