Section: Partnerships and Cooperations
Regional Initiatives
OPTIMEC
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Abstract: In this project we investigate classes of utility and privacy measures, and we devise methods to obtain optimal mechanisms with respect to the trade-off between utility and privacy. In order to represent the probabilistic knowledge of the adversary and of the user, and the fact that mechanisms themselves can be randomized, we consider a probabilistic setting. We focus, in particular, on measures that are expressible as linear functions of the probabilities.
SUPREME
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Project title: Statistical-Utility Preserving Methods for Privacy Protection
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Abstract: In this project we study the theoretical foundations, methods and tools to protect the privacy of the individuals under certain constraints. In particular we focus on mechanisms that: (1) are robust with respect to combination of information from different sources, (2) can be applied directly by the user, thus avoiding the need of a trusted party, and (3) provide an optimal trade-off between privacy and utility.