01227nas a2200121   4500008004100000245005000041210004900091260004500140520083300185100001901018700002101037856004701058       2016                        eng d00aPrivacy-Preserving Outsourcing of Data Mining0 aPrivacyPreserving Outsourcing of Data Mining  a Atlanta, GA, USAbIEEE Computer Society3 aData mining is gaining momentum in society due to the ever increasing availability of large amounts of data, easily gathered by a variety of collection technologies and stored via computer systems. Due to the limited computational resources of data owners and the developments in cloud computing, there has been considerable recent interest in the paradigm of data mining-as-a-service (DMaaS). In this paradigm, a company (data owner) lacking in expertise or computational resources outsources its mining needs to a third party service provider (server). Given the fact that the server may not be fully trusted, one of the main concerns of the DMaaS paradigm is the protection of data privacy. In this paper, we provide an overview of a variety of techniques and approaches that address the privacy issues of the DMaaS paradigm.1 aMonreale, Anna1 aWang, Hui, Wendy  uhttp://dx.doi.org/10.1109/COMPSAC.2016.169