Nearest Neighbor Search with Strong Location Privacy
Summary: Defines strong location privacy for kNN queries, making a single query indistinguishable from any location in the data space. Proposes secure hardware-aided PIR; evolves from a baseline to AHG, addressing drawbacks and boosting privacy-preserving kNN performance. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Stavros Papadopoulos (Chinese University of Hong Kong)
- 2. Spiridon Bakiras (John Jay College of Criminal Justice)
- 3. Dimitris Papadias (Hong Kong University of Science and Technology)
BibTeX Citation
@article{papadopoulos_vldb10,
title = {{Nearest Neighbor Search with Strong Location Privacy}},
author = {Papadopoulos, Stavros and Bakiras, Spiridon and Papadias, Dimitris},
journal = {PVLDB},
series = {{VLDB} '10},
volume = {3},
number = {1},
doi = {10.14778/1920841.1920920},
url = {https://doi.org/10.14778/1920841.1920920},
year = {2010}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,980 | Shortest Path Computation with No Information Leakage | 2012 | VLDB | 5.4134849e-05 |
| 9,000 | Authenticating Top-k Queries in Location-based Services with Confidentiality | 2014 | VLDB | 5.2396326e-05 |
| 9,245 | Efficient Secure and Verifiable Location-Based Skyline Queries over Encrypted Data | 2022 | VLDB | 5.2056825e-05 |
| 12,575 | Lightweight Privacy-Preserving Peer-to-Peer Data Integration | 2013 | VLDB | 4.9793485e-05 |
| 12,598 | Authenticating Location-based Services without Compromising Location Privacy | 2012 | SIGMOD | 4.9793485e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 311 | Order Preserving Encryption for Numeric Data | 2004 | SIGMOD | 0.00021327947 |
| 1,768 | The New Casper: Query Processing for Location Services without Compromising Privacy | 2006 | VLDB | 9.6873901e-05 |
| 2,243 | Conceptual Partitioning: An Efficient Method for Continuous Nearest Neighbor Monitoring | 2005 | SIGMOD | 8.7678247e-05 |
| 2,307 | Secure kNN Computation on Encrypted Databases | 2009 | SIGMOD | 8.6665657e-05 |
| 3,148 | Private Queries in Location Based Services: Anonymizers are not Necessary | 2008 | SIGMOD | 7.5929728e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 3,774 | Efficient Reverse k-Nearest Neighbor Search in Arbitrary Metric Spaces | 2006 | SIGMOD |
| 2 | 8,820 | Spatial Queries with Two kNN Predicates | 2012 | VLDB |
| 3 | 5,789 | A Neural Database for Differentially Private Spatial Range Queries | 2022 | VLDB |
| 4 | 4,835 | Nearest-Neighbor Searching Under Uncertainty | 2012 | PODS |
| 5 | 4,856 | Neighbor-Sensitive Hashing | 2016 | VLDB |
| 6 | 10,326 | Fast-Convergent Proximity Graphs for Approximate Nearest Neighbor Search | 2026 | SIGMOD |
| 7 | 1,635 | Efficient Search for the Top-k Probable Nearest Neighbors in Uncertain Databases | 2008 | VLDB |
| 8 | 3,306 | FedKNN: Secure Federated k-Nearest Neighbor Search | 2024 | SIGMOD |
| 9 | 3,148 | Private Queries in Location Based Services: Anonymizers are not Necessary | 2008 | SIGMOD |
| 10 | 12,615 | A Moving-Object Index for Efficient Query Processing with Peer-Wise Location Privacy | 2012 | VLDB |