אירועים והרצאות בפקולטה למדעי המחשב ע"ש הנרי ומרילין טאוב

Over the past decade, the computer science research community has converged around a formal notion of data privacy, known as differential privacy, and has made substantial progress in establishing the theoretical foundations of this notion. In this talk, I will give a brief overview of differential privacy and the relevant mathematical toolkit, and then we will discuss the implications and frontiers of this research space. Can differential privacy ever be practical? How might it be useful, even in settings where we don't care about privacy? What's next for privacy? Brief bio: Katrina Ligett is an Associate Professor in the School of Computer Science and Engineering at Hebrew University. Before joining Hebrew University, she was faculty in computer science and economics at Caltech. Katrina’s primary research interests are in data privacy and algorithmic game theory. She received her PhD in Computer Science from Carnegie Mellon University in 2009 and did her postdoc at Cornell University. She is a recipient of the NSF CAREER award and a Microsoft Faculty Fellowship.