Salil Vadhan(1965)
Salil Vadhan is a recipient of the ACM Prize in Computing (2016) from United States. They have received 2 major awards in total. They were educated at Harvard University and Massachusetts Institute of Technology. They have been affiliated with Harvard University.
United StatesHarvard University
2
Major Awards
317
Publications
14,351
Citations
59
h-index
143
i10-index
45.3
Avg Citations/Paper
Awards & Recognition
Most Cited Works
Top publications by citation count#1
Don’t Look at the Data! How Differential Privacy Reconfigures the Practices of Data Science
International Conference on Human Factors in Computing Systems(2023)
31
citations
#3
Singular Value Approximation and Sparsifying Random Walks on Directed Graphs
IEEE Annual Symposium on Foundations of Computer Science(2023)
5
citations
#4
Hypothesis Testing for Differentially Private Linear Regression
Neural Information Processing Systems(2022)
18
citations
#5
Widespread Underestimation of Sensitivity in Differentially Private Libraries and How to Fix It
Conference on Computer and Communications Security(2022)
32
citations
#6
Concurrent Composition Theorems for Differential Privacy
Symposium on the Theory of Computing(2022)
28
citations
#7
Fourier Growth of Regular Branching Programs
Electron. Colloquium Comput. Complex.(2022)
10
citations
#8
Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression
Proceedings on Privacy Enhancing Technologies(2022)
8
citations
#9
Harnessing the Known Unknowns: Differential Privacy and the 2020 Census
Harvard data science review(2022)
9
citations
#10
Pseudorandomness of expander random walks for symmetric functions and permutation branching programs
Electron. Colloquium Comput. Complex.(2022)
13
citations
Recent Publications
View all worksDon’t Look at the Data! How Differential Privacy Reconfigures the Practices of Data Science
International Conference on Human Factors in Computing Systems2023
31citations
Open AccessOn the works of Avi Wigderson
arXiv.org2023
1citations
Open AccessSingular Value Approximation and Sparsifying Random Walks on Directed Graphs
IEEE Annual Symposium on Foundations of Computer Science2023
5citations
Open AccessHypothesis Testing for Differentially Private Linear Regression
Neural Information Processing Systems2022
18citations
Open AccessWidespread Underestimation of Sensitivity in Differentially Private Libraries and How to Fix It
Conference on Computer and Communications Security2022
32citations
Open AccessConcurrent Composition Theorems for Differential Privacy
Symposium on the Theory of Computing2022
28citations
Open AccessFourier Growth of Regular Branching Programs
Electron. Colloquium Comput. Complex.2022
10citations
Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression
Proceedings on Privacy Enhancing Technologies2022
8citations
Open AccessHarnessing the Known Unknowns: Differential Privacy and the 2020 Census
Harvard data science review2022
9citations
Open AccessPseudorandomness of expander random walks for symmetric functions and permutation branching programs
Electron. Colloquium Comput. Complex.2022
13citations
External Profiles
Career Path
Award progression over time
Apex Elite Prestigious
Co-winners
Shared the same award in the same year
Education
Harvard University
Massachusetts Institute of Technology
Doctoral Advisors
Minh-Huyen NguyenEmanuele ViolaJia Colin ZhengJonathan UllmanShien Jin OngKai-Min ChungThomas SteinkeMark BunYi-Hsiu ChenShafrira Goldwasser
Top Publications
Don’t Look at the Data! How Differential Privacy Reconfigures the Practices of Data Science
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems202315 citations
Concurrent Composition for Interactive Differential Privacy with Adaptive Privacy-Loss Parameters
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security20234 citations
A Framework for Differential Privacy Against Timing Attacks
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security20243 citations
Complexity-Theoretic Implications of Multicalibration
Proceedings of the 56th Annual ACM Symposium on Theory of Computing20242 citations
Securing Unbounded Differential Privacy Against Timing Attacks
Lecture Notes in Computer Science20250 citations
Related Laureates
Other winners of the same award(s)
SA
Sanjeev Arora
Knuth Prize (2022)
SK
Subhash Khot
MacArthur Fellowship (2016)
SM
Silvio Micali
Turing Award (2012)
SG
Shafi Goldwasser
Turing Award (2012)
AW
Avi Wigderson
Turing Award (2023)
DS
Daniel Spielman
Breakthrough Prize in Mathematics (2023)
Ran Raz
ACM Prize in Computing (2023)
TR
Thomas Rothvoss
Gödel Prize (2022)
Data Sources
Profile data aggregated from OpenAlex, Semantic Scholar, Wikidata, ORCID, and curated award records. Citation metrics may vary between sources.