Lars Vilhuber

According to our database, Lars Vilhuber authored at least 24 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

The 2010 Census Confidentiality Protections Failed, Here's How and Why.

John M. Abowd, Tamara Adams, Robert Ashmead, David Darais, Sourya Dey, Simson L. Garfinkel, Nathan Goldschlag, Daniel Kifer, Philip Leclerc, Ethan Lew, Scott Moore, Rolando A. Rodríguez, Ramy N. Tadros, Lars Vilhuber

CoRR, 2023

Assessing Utility of Differential Privacy for RCTs.

Soumya Mukherjee, Aratrika Mustafi, Aleksandra B. Slavkovic, Lars Vilhuber

CoRR, 2023

2022

Teaching for large-scale Reproducibility Verification.

Lars Vilhuber, Hyuk Harry Son, Meredith Welch, David N. Wasser, Michael Darisse

CoRR, 2022

2021

Editorial: Articles, perspectives, and TPDP.

Lars Vilhuber

J. Priv. Confidentiality, 2021

Expansion, perspectives, and challenges.

Lars Vilhuber

J. Priv. Confidentiality, 2021

2020

Program for TPDP 2018.

Aleksandar Nikolov, Lars Vilhuber

J. Priv. Confidentiality, 2020

Editorial for Special Issue on the Theory and Practice of Differential Privacy 2018.

Aleksandar Nikolov, Lars Vilhuber

J. Priv. Confidentiality, 2020

On Privacy in the Age of COVID-19.

Cynthia Dwork, Alan F. Karr, Kobbi Nissim, Lars Vilhuber

J. Priv. Confidentiality, 2020

2019

Program for TPDP 2017.

Jonathan R. Ullman, Lars Vilhuber

J. Priv. Confidentiality, 2019

Editorial for Volume 9 Issue 2.

Jonathan R. Ullman, Lars Vilhuber

J. Priv. Confidentiality, 2019

Suboptimal Provision of Privacy and Statistical Accuracy When They are Public Goods.

John M. Abowd, Ian M. Schmutte, William Sexton, Lars Vilhuber

CoRR, 2019

2018

Relaunching the Journal of Privacy and Confidentiality.

Lars Vilhuber

J. Priv. Confidentiality, 2018

Remembering Stephen Fienberg.

Aleksandra B. Slavkovic, Lars Vilhuber

J. Priv. Confidentiality, 2018

Synthetic Data via Quantile Regression for Heavy-Tailed and Heteroskedastic Data.

Michelle Pistner, Aleksandra B. Slavkovic, Lars Vilhuber

Proceedings of the Privacy in Statistical Databases, 2018

2017

Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics.

Samuel Haney, Ashwin Machanavajjhala, John M. Abowd, Matthew Graham, Mark Kutzbach, Lars Vilhuber

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

2014

Using Partially Synthetic Data to Replace Suppression in the Business Dynamics Statistics: Early Results.

Javier Miranda, Lars Vilhuber

Proceedings of the Privacy in Statistical Databases, 2014

Synthetic Longitudinal Business Databases for International Comparisons.

Jörg Drechsler, Lars Vilhuber

Proceedings of the Privacy in Statistical Databases, 2014

CED²AR: The Comprehensive Extensible Data Documentation and Access Repository.

Carl Lagoze, Lars Vilhuber, Jeremy Williams, Benjamin Perry, William C. Block

Proceedings of the IEEE/ACM Joint Conference on Digital Libraries, 2014

2013

Differential Privacy Applications to Bayesian and Linear Mixed Model Estimation.

John M. Abowd, Matthew J. Schneider, Lars Vilhuber

J. Priv. Confidentiality, 2013

Data Management of Confidential Data.

Carl Lagoze, William C. Block, Jeremy Williams, John M. Abowd, Lars Vilhuber

Int. J. Digit. Curation, 2013

Encoding Provenance Metadata for Social Science Datasets.

Carl Lagoze, Jeremy Williams, Lars Vilhuber

Proceedings of the Metadata and Semantics Research - 7th Research Conference, 2013

2012

A Proposed Solution to the Archiving and Curation of Confidential Scientific Inputs.

John M. Abowd, Lars Vilhuber, William C. Block

Proceedings of the Privacy in Statistical Databases, 2012

2008

How Protective Are Synthetic Data?.

John M. Abowd, Lars Vilhuber

Proceedings of the Privacy in Statistical Databases, 2008

Privacy: Theory meets Practice on the Map.

Ashwin Machanavajjhala, Daniel Kifer, John M. Abowd, Johannes Gehrke, Lars Vilhuber

Proceedings of the 24th International Conference on Data Engineering, 2008