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Adam Smith
Data Privacy
Cryptographic Protocols
Differential Privacy
Quantum Cryptography
Information-Theoretic Security
About
Adam Smith is a Professor of Computer Science and Engineering at Boston University. His research interests lie in data privacy and cryptography, and their connections to machine learning, statistics, information theory, and quantum computing. He obtained his Ph.D. from MIT in 2004 and has held visiting positions at the Weizmann Institute of Science, UCLA, and Harvard. He previously was a Professor of Computer Science and Engineering at Penn State. He received a Presidential Early Career Award for Scientists and Engineers (PECASE) in 2009; a 2016 Theory of Cryptography Test of Time award; the 2019 Eurocrypt Test of Time award; and the 2017 Gödel Prize.
Research Performance Summary
1993-2026
Active Research Span
First Recorded Paper
An Inquiry into the Nature and Causes of the Wealth of Nations
Year:
1993
Citations:
6
Venue:
Indianapolis, IN: Hackett
Latest Recorded Paper
Local Node Differential Privacy
Year:
2026
Citations:
0
Venue:
arXiv preprint arXiv:2602.15802
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Smith
Raskhodnikova
Nissim
Research Impact by Period
Papers
10
Citations
51
Avg. Citations / Paper
5.1
H-Index
3
Papers
55
Citations
1328
Avg. Citations / Paper
24.1
H-Index
19
Papers
57
Citations
4120
Avg. Citations / Paper
72.3
H-Index
24
Papers
38
Citations
5261
Avg. Citations / Paper
138.4
H-Index
20
Papers
57
Citations
19587
Avg. Citations / Paper
343.6
H-Index
26
Papers
26
Citations
6455
Avg. Citations / Paper
248.3
H-Index
17
Papers
2
Citations
12
Avg. Citations / Paper
6
H-Index
1
Papers
1
Citations
6
Avg. Citations / Paper
6
H-Index
1
Contact and Professional Links
Detected Research Keywords
Empirical Risk Minimization
Private Empirical Risk
Private Data Analysis
Theory Cryptography Conference
Fuzzy Extractors How
Extractors How Generate
How Generate Strong
Generate Strong Keys
Strong Keys Biometrics
Adaptive Data Analysis