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Graph datasets have invaluable use in business applications and scientific research. Because of the growing size and dynamically changing nature of graphs, graph data owners may want to use public cloud infrastructures to store, process, and perform graph analytics. However, when outsourcing data and computation, data owners are at burden to develop methods to preserve data privacy and data ownership from curious cloud providers. This demonstration exhibits a prototype system fordoi:10.1109/icdcs.2017.189 dblp:conf/icdcs/SharmaC17 fatcat:nbnmyrpbxnbzbbp6sx2kwbjscq