Lars Vilhuber
Artificial Intelligence · 2004–2017
A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it; #17,565 of 35,345 by trust here, #9,275 by citations
- Privacy & Security — 15 citations into it; #418 of 709 by trust here, #239 by citations
- Sociology and Political Science — 13 citations into it; #8,759 of 22,756 by trust here, #3,355 by citations
- Statistics and Probability — 7 citations into it
Whom Lars Vilhuber trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Lars Vilhuber overall
Papers from Lars Vilhuber's perspective
Ordered by how strongly the researchers Lars Vilhuber trusts endorse each paper. Same corpus, a different order for every researcher.
- Revealing information while preserving privacy
- Security-control methods for statistical databases: a comparative study
- L-diversity: privacy beyond k-anonymity
- Privacy, accuracy, and consistency too: a holistic solution to contingency table release
- Privacy Preserving Data Mining
- Differential Privacy
- Privacy: Theory meets Practice on the Map
- Limiting privacy breaches in privacy preserving data mining
- The Algorithmic Foundations of Differential Privacy
- Smooth sensitivity and sampling in private data analysis
Their papers
- Privacy: Theory meets Practice on the Map (2008) — 663 citations
- Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics (2017) — 69 citations
- Escaping Low Earnings: The Role of Employer Characteristics and Changes (2004) — 726 citations
- Proceedings from the 2016 NSF–Sloan Workshop on Practical Privacy (2017) — 4 citations