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:
  • https://reitermk.github.io/

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].