Jaideep Vaidya

Please note this CyLab seminar is open only to Carnegie Mellon University faculty, students and staff.

Speaker: Jaideep Vaidya
Professor, Rutgers University

Talk Title: 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. We discuss some of our recent research results on identifying anomalies and crowdsensing data in this context.

Bio: Jaideep Vaidya is a Distinguished Professor of Computer Information Systems at Rutgers University and the Director of the Rutgers Institute for Data Science, Learning, and Applications. He received the B.E. degree in Computer Engineering from the University of Mumbai, the 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 ACM Distinguished Scientist, an IEEE and AAAS Fellow and served as the Editor in Chief of the IEEE Transactions on Dependable and Secure Computing.