Salil Vadhan

Salil Vadhan

Harvard University

H-index: 72

North America-United States

About Salil Vadhan

Salil Vadhan, With an exceptional h-index of 72 and a recent h-index of 40 (since 2020), a distinguished researcher at Harvard University, specializes in the field of theoretical computer science: computational complexity, cryptography, and data privacy.

His recent articles reflect a diverse array of research interests and contributions to the field:

On the works of Avi Wigderson

Programming Frameworks for Differential Privacy

Small-Space Spectral Sparsification via Bounded-Independence Sampling

Membership Inference Attacks and Privacy in Topic Modeling

On the power of regular and permutation branching programs

Black-Box Privacy Attacks Against GANs via Detector Networks

Complexity-Theoretic Implications of Multicalibration

Singular value approximation and reducing directed to undirected graph sparsification

Salil Vadhan Information

University

Position

Vicky Joseph Professor of Computer Science and Applied Mathematics

Citations(all)

19688

Citations(since 2020)

7825

Cited By

15372

hIndex(all)

72

hIndex(since 2020)

40

i10Index(all)

142

i10Index(since 2020)

101

Email

University Profile Page

Google Scholar

Salil Vadhan Skills & Research Interests

theoretical computer science: computational complexity

cryptography

and data privacy

Top articles of Salil Vadhan

Title

Journal

Author(s)

Publication Date

On the works of Avi Wigderson

arXiv preprint arXiv:2307.09524

Boaz Barak

Yael Kalai

Ran Raz

Salil Vadhan

Nisheeth K Vishnoi

2023/7/18

Programming Frameworks for Differential Privacy

arXiv preprint arXiv:2403.11088

Marco Gaboardi

Michael Hay

Salil Vadhan

2024/3/17

Small-Space Spectral Sparsification via Bounded-Independence Sampling

ACM Transactions on Computation Theory

Dean Doron

Jack Murtagh

Salil Vadhan

David Zuckerman

2024/3/14

Membership Inference Attacks and Privacy in Topic Modeling

arXiv preprint arXiv:2403.04451

Nico Manzonelli

Wanrong Zhang

Salil Vadhan

2024/3/7

On the power of regular and permutation branching programs

Chin Ho Lee

Edward Pyne

Salil Vadhan

2023

Black-Box Privacy Attacks Against GANs via Detector Networks

Lukman Olagoke

Salil Vadhan

Seth Neel

2023/10/13

Complexity-Theoretic Implications of Multicalibration

arXiv preprint arXiv:2312.17223

Sílvia Casacuberta

Cynthia Dwork

Salil Vadhan

2023/12/28

Singular value approximation and reducing directed to undirected graph sparsification

arXiv preprint arXiv:2301.13541

AmirMahdi Ahmadinejad

John Peebles

Edward Pyne

Aaron Sidford

Salil P Vadhan

2023/1

Concurrent composition theorems for differential privacy

Salil Vadhan

Wanrong Zhang

2023/6

Concurrent composition for interactive differential privacy with adaptive Privacy-Loss parameters

Samuel Haney

Michael Shoemate

Grace Tian

Salil Vadhan

Andrew Vyrros

...

2023/11/15

Don’t look at the data! How differential privacy reconfigures the practices of data science

Jayshree Sarathy

Sophia Song

Audrey Haque

Tania Schlatter

Salil Vadhan

2023/4/19

Singular Value Approximation and Sparsifying Random Walks on Directed Graphs

AmirMahdi Ahmadinejad

John Peebles

Edward Pyne

Aaron Sidford

Salil Vadhan

2023/11/6

Canonical noise distributions and private hypothesis tests

The Annals of Statistics

Jordan Awan

Salil Vadhan

2023/4

A standardised differential privacy framework for epidemiological modeling with mobile phone data

PLOS Digital Health

Merveille Koissi Savi

Akash Yadav

Wanrong Zhang

Navin Vembar

Andrew Schroeder

...

2023/10/27

Differentially Private Hypothesis Testing for Linear Regression

Journal of Machine Learning Research

Daniel G Alabi

Salil P Vadhan

2023

Black-Box Training Data Identification in GANs via Detector Networks

arXiv preprint arXiv:2310.12063

Lukman Olagoke

Salil Vadhan

Seth Neel

2023/10/18

Analyzing the differentially private theil-sen estimator for simple linear regression

arXiv preprint arXiv:2207.13289

Jayshree Sarathy

Salil Vadhan

2022/7/27

Harnessing the known unknowns: Differential privacy and the 2020 census

Harvard Data Science Review

Ruobin Gong

Erica L Groshen

Salil Vadhan

2022/6/24

Fourier growth of regular branching programs

Chin Ho Lee

Edward Pyne

Salil Vadhan

2022

Hypothesis testing for differentially private linear regression

Advances in Neural Information Processing Systems

Daniel Alabi

Salil Vadhan

2022/12/6

See List of Professors in Salil Vadhan University(Harvard University)