Private Information Retrieval in Large Scale Public Data Repositories
Summary: Tutorial surveys PIR for large-scale public repositories: single- vs multi-server models, computational vs information-theoretic PIR, and homomorphic-encryption-based constructions. Emphasizes performance/scalability optimizations, practical deployments, and extensions for richer queries. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Ishtiyaque Ahmad (University of California Santa Barbara)
- 2. Divyakant Agrawal (University of California Santa Barbara)
- 3. Amr El Abbadi (University of California Santa Barbara)
- 4. Trinabh Gupta (University of California Santa Barbara)
BibTeX Citation
@article{ahmad_vldb23,
title = {{Private Information Retrieval in Large Scale Public Data Repositories}},
author = {Ahmad, Ishtiyaque and Agrawal, Divyakant and Abbadi, Amr El and Gupta, Trinabh},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {12},
pages = {3868--3871},
doi = {10.14778/3611540.3611572},
url = {https://doi.org/10.14778/3611540.3611572},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,131 | HEDA: Multi-Attribute Unbounded Aggregation over Homomorphically Encrypted Database | 2023 | VLDB | 7.7249939e-05 |
| 7,371 | SPG: Structure-Private Graph Database via SqueezePIR | 2023 | VLDB | 5.6312975e-05 |
| 8,640 | Pantheon: Private Retrieval from Public Key-Value Store | 2023 | VLDB | 5.3944963e-05 |
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