The amount of data produced by individuals and corporations has dramatically increased during the last decades. This generalized gathering of data brings opportunities but also new privacy challenges. Nowadays, data are often organized as graphs with an underlying semantic to allow efficient querying and support inference engines. Such is the case in, for example, linked data and semantic web typically relying on RDF. The SEmantic Networks of Data: Utility and Privacy (SEND UP) project focuses on such databases and will follow two main goals: (1) prevent illegitimate use of private data while querying semantic data graphs and (2) publish useful sensitive semantic data graphs while preserving privacy. Context and goals More and more private information collected: threatening privacy yet useful ⇒ needs for privacy guarantees and utility preservation.