On the Risks of Collecting Multidimensional Data Under Local Differential Privacy
Summary: Assesses privacy threats (re-identification, attribute inference) for multidimensional data under local DP, analyzing two frequency-estimation approaches. Empirically compares five LDP protocols (GRR, local hashing, subset selection, RAPPOR, unary encoding) and proposes a countermeasure that improves utility and robustness. (summarized by gpt-5-nano on Feb 09 2026)
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No non-self incoming citations found for this paper in this database.
Authors
- 1. Héber H. Arcolezi (Ecole Polytechnique; INRIA)
- 2. Sébastien Gambs (University of Quebec)
- 3. Jean-François Couchot (Femto-ST Institute; National Centre for Scientific Research; University of Bourgogne Franche-Comté)
- 4. Catuscia Palamidessi (Ecole Polytechnique; INRIA)
BibTeX Citation
@article{arcolezi_vldb23,
title = {{On the Risks of Collecting Multidimensional Data Under Local Differential Privacy}},
author = {Arcolezi, Héber H. and Gambs, Sébastien and Couchot, Jean-François and Palamidessi, Catuscia},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {5},
pages = {1126--1139},
doi = {10.14778/3579075.3579086},
url = {https://doi.org/10.14778/3579075.3579086},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,550 | Understanding Disclosure Risk in Differential Privacy with Applications to Noise Calibration and Auditing | 2026 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,143 | Frequency Estimation under Local Differential Privacy | 2021 | VLDB | 7.7137142e-05 |
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