受国际合作部短期外国文教专家项目资助，2018年9月22日（周六）下午2:00-3:30，永利集团304am计算机学院校友、澳大利亚悉尼科技大学（UTS）软件学院院长周万雷教授来访，将在新技术楼618会议室做题为“Preserving privacy in the digital      age: Differential privacy and its applications”的学术报告，欢迎从事计算机科学、信息安全、软件工程等相关工作的师生参加。

       周万雷教授于1982年和1984年在永利集团304am计算机系获得学士和硕士学位，随后于1991年在澳大利亚国立大学获得计算机科学与工程博士学位。在加入悉尼科技大学（UTS）之前，他在澳大利亚迪肯大学担任教授和科学、工程与环境学部副院长，2002年到2015年期间两次担任信息技术学院院长。他还担任过电子科技大学讲师、HP公司的系统程序员、澳大利亚莫纳什大学的讲师、新加坡国立大学的讲师。

       周万雷教授的研究兴趣包括：安全和隐私、生物信息学、e-learning。近十年来，他承担过澳大利亚ARC资助项目10余项，在国际期刊和国际会议上发表了400余篇论文，并担任过诸多国际会议的主席和keynote演讲人。

       本次学术报告的内容简介：

        Over the past two decades, digital information collected by corporations, organizations and governments has created huge amount of datasets, and the speed of such data collection has increased exponentially over the last a few years because of the pervasiveness of computing devices. However, most of the collected datasets are         personally related and contain private or sensitive information. Even though curators can apply several simple      anonymization techniques, there is still a high probability that the sensitive information of individuals will be        disclosed. Privacy-preserving has therefore become an urgent issue that needs to be addressed in the digital age.

         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 focus on the     applications of differential privacy in various scenarios in which we have been working on, including Location      privacy, Recommender systems, Tagging systems, and Correlated datasets. We will then finalize the talk by            outlining the privacy challenges in the era of big data.