Local Sensitivity
Local Sensitivity is a differential privacy metric that quantifies the maximum change in the output of a query function over neighboring datasets within a localized subset of the data domain, distinguishing it from global sensitivity by depending on the specific input rather than the entire dataset space.
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8.1K
Citations
572
Authors
299
Institutions
Publications per year
2017–2026
66
Parents
192
Private analysis of graph structure
Vishesh Karwa, Sofya Raskhodnikova, Adam Smith et al. · Proceedings of the VLDB Endowment · 2011 · 194 citations
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University of Illinois Chicago
Chicago, United States
5 h-index
10 publications
236 citations

Delft University of Technology
Delft, The Netherlands
5 h-index
13 publications
419 citations
Princeton University
Princeton, United States
4 h-index
6 publications
230 citations

University of British Columbia
Vancouver, Canada
4 h-index
5 publications
208 citations
University of Pennsylvania
Philadelphia, United States
4 h-index
4 publications
128 citations

Eötvös Loránd University
Budapest, Hungary
4 h-index
14 publications
267 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
9 publications
139 citations
University of Washington
Seattle, United States
3 h-index
6 publications
300 citations
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5 publications · 140 citations
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4 publications · 78 citations
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Repository · 4 publications · 108 citations
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3 publications · 155 citations
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3 publications · 81 citations
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