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Deiminari

Títol

A personalized privacy tool for online social network users + Generator for synthetic online social

Conferenciant

David Nettleton

Professor/a organitzador/a

Maria Bras-Amors

Institució

URV

Data

13-10-2015 12:00

Resum

In this work we propose mechanisms that enable individual users to evaluate and control the tradeoffs in privacy with respect to disclosure. Each individual chooses what attribute-values about themselves they consider sensitive and which they consider non-sensitive. Then we provide warnings about non-sensitive attribute-values that can be used to build accurate predictive models of the sensitive attributes for the individual user. We also summarize an approach for generating synthetic Online Social Network data which is used to populate a graph topology, and which allows us to generate different scenarios for the testing of the privacy tool.

Lloc

Laboratori 231

Idioma

Angls