Privacy-preserving Data Sharing and Analytics

Abstract: In the current digital age, data is continually being collected by organizations and governments alike. While the goal is to use this data to derive insight and improve services, the ubiquitous collection and analysis of data creates a threat to privacy. In this talk, we examine the underlying challenges in enabling data sharing and analytics in a privacy-preserving manner. This requires a combination of technological advances to ensure both process and output privacy as well as socio-cognitive approaches to ensure the widespread use and deployment of such work. In this talk, we present some of our recent research results in this context.

Speaker’s Bio: Jaideep Vaidya is a Professor in the Management Science and Information Systems Department at Rutgers University. He received the B.E. degree in Computer Engineering from the University of Mumbai, and his M.S. and Ph.D. degree in Computer Science from Purdue University. His general area of research is in security, privacy, data mining, and data management. He has published over 200 technical papers in peer-reviewed journals and conference proceedings, and has received several best paper awards from the premier conferences in data mining, databases, digital government, security, and informatics. He is an Association for Computing Machinery Distinguished Scientist, an Institute of Electrical and Electronics Engineers (IEEE) Fellow and is the Editor in Chief of the IEEE Transactions on Dependable and Secure Computing.