The next WATCH talk, called Computer Security and the Internet of Things is Thursday, November 12, 2015 from Noon-1pm ET. The presenter is Tadayoshi Kohno from the University of Washington and the UW Information School. His research focuses on helping protect the security, privacy, and safety of users of current and future generation technologies. Kohno is the recipient of an Alfred P. Sloan Research Fellowship, a U.S. National Science Foundation CAREER Award, and a Technology Review TR-35 Young Innovator Award. Kohno is also a member of the National Academies Forum on Cyber Resilience, the IEEE Center for Secure Design, and the USENIX Security Steering Committee. Kohno received his Ph.D. from the University […]
Computing Community Consortium Blog
The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.
Posts Tagged ‘WATCH talks’
NSF WATCH Talk- Computer Security and the Internet of Things
November 5th, 2015 / in Announcements, NSF, Research News / by Helen WrightWATCH Talk-Differential Privacy: Theoretical and Practical Challenges
January 12th, 2015 / in NSF, policy, Research News, videos / by Helen WrightThe next WATCH Talk is this Thursday, January 15, 12:00-1:00pm EDT. Salil Vadhan will discuss Differential Privacy: Theoretical and Practical Challenges. Dr. Salil Vadhan is the Vicky Joseph Professor of Computer Science and Applied Mathematics in the Harvard University School of Engineering and Applied Sciences, and the Director of the Harvard Center for Research on Computation and Society. His research area is theoretical computer science, specifically computational complexity, cryptography, and differential privacy. Abstract Differential Privacy is framework for enabling the analysis of privacy-sensitive datasets while ensuring that individual-specific information is not revealed. The concept was developed in a body of work in theoretical computer science starting about a decade ago. […]
