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Vitaly Shmatikov

Professor of Computer Science
Color portrait of Vitaly Shmatikov

About

Vitaly Shmatikov is a professor of computer science at Cornell Tech and the Cornell Ann S. Bowers College of Computing and Information Science. Before Cornell, he worked at the University of Texas at Austin and SRI International. His research areas include digital privacy, computer security, and security and privacy issues in machine learning.

Research by Shmatikov, his students, and collaborators received the Caspar Bowden PET Award for Outstanding Research in Privacy Enhancing Technologies three times; Test-of-Time Awards from the IEEE Symposium on Security and Privacy, the ACM Conference on Computer and Communications Security, and the ACM/IEEE Symposium on Logic in Computer Science; as well as several outstanding and distinguished paper awards, most recently from USENIX Security and EMNLP.

Shmatikov obtained his Ph.D. in computer science and M.S. in engineering economic systems from Stanford University.

Research Website
Shmatikov's Website
Research areas
Security
Systems + Networking
Contact
shmat@cs.cornell.edu
Location
NYC
Office
Cornell Tech
Profile Type
Faculty (Department)
Computer Science
Additional Links
Cornell Tech Profile

Awards

View all Awards Received

ACM CCS Test of Time Award

Association for Computing Machinery Conference on Computer and Communications Security
Vitaly Shmatikov
  • Research
  • 2025

About This Award

View Vitaly Shmatikov
View all Awards Received

News + Stories featuring Vitaly Shmatikov

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A graphic illustration showing the concept of cyber security.
Cornell Chronicle
‘Rosetta stone’ for database inputs reveals serious security issue
  • Research + Innovation
  • Real-World Impact
A color photo of the Cornell Tech campus.
Cornell Tech
From Greener AI to Richer 3D Worlds: 23 Papers Debuted at NeurIPS Conference
  • Around the College
The New Yorker highlights research on AI writing tools by Naaman and Vashistha
Cornell Tech
Professor Vitaly Shmatikov wins test of time award for deep learning research
  • Faculty Excellence
View All Stories
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