講座內(nèi)容：Differential privacy is one of the most prevalent privacy models as it provides a rigorous and provable privacy notion that can be implemented in various research areas. In this presentation, we will start with privacy breaches and privacy models, and introduce the basic concept of differential privacy. We then will forcus on the applications of differential privacy in various senarios in which we have been working on, including Location privacy, Recommender systems, Tagging systems, and Correlated datasets. We will then finalise the talk by outlining the privacy challenges in the era of big data.