Michael Kendrick Reiter

James B. Duke Distinguished Professor
Michael Reiter is a James B. Duke Distinguished Professor of Computer Science and Electrical & Computer Engineering at Duke University. His previous positions include Director of Secure Systems Research at Bell Labs; Professor of Electrical & Computer Engineering and Computer Science at Carnegie Mellon University, where he was the founding Technical Director of CyLab; and Distinguished Professor of Computer Science at the University of North Carolina at Chapel Hill.
Appointments and Affiliations
- James B. Duke Distinguished Professor
- Professor of Computer Science
- Professor of Electrical and Computer Engineering
Contact Information
- Office Location: 308 Research Drive D310, Box 90129, Durham, NC 27708
- Office Phone: (919) 660-6524
- Email Address: michael.reiter@duke.edu
- Websites:
Education
- Ph.D. Cornell University, 1993
Research Interests
Prof. Reiter's research interests include all areas of computer and communications security, fault-tolerant distributed computing, and applied cryptography.
Awards, Honors, and Distinctions
- Outstanding Contributions Award. ACM Special Interest Group on Security, Audit and Control (SIGSAC). 2016
- Fellow. IEEE. 2014
- Fellow. ACM. 2008
Courses Taught
- COMPSCI 351: Computer Security
- COMPSCI 581: Computer Security
- COMPSCI 590: Advanced Topics in Computer Science
- ECE 590: Advanced Topics in Electrical and Computer Engineering
In the News
- The Growing Role of Computation in Science (Feb 9, 2022 | Duke Research Blog)
- Duke Awards 22 Distinguished Professorships (Jun 28, 2021)
Representative Publications
- Zhang, X; Hamm, J; Reiter, MK; Zhang, Y, Defeating traffic analysis via differential privacy: a case study on streaming traffic, International Journal of Information Security (2022) [10.1007/s10207-021-00574-3] [abs].
- Chakraborti, A; Fanti, G; Reiter, MK, Distance-Aware Private Set Intersection (2021) [abs].
- Lin, W; Lucas, K; Bauer, L; Reiter, MK; Sharif, M, Constrained Gradient Descent: A Powerful and Principled Evasion Attack
Against Neural Networks (2021) [abs]. - Yandamuri, S; Abraham, I; Nayak, K; Reiter, M, Brief announcement: Communication-efficient BFT using small trusted hardware to tolerate minority corruption, Leibniz International Proceedings in Informatics, Lipics, vol 209 (2021) [10.4230/LIPIcs.DISC.2021.62] [abs].
- Zhou, Z; Reiter, MK, Interpretable noninterference measurement and its application to processor designs, Proceedings of the Acm on Programming Languages, vol 5 no. OOPSLA (2021) [10.1145/3485518] [abs].