Embellishing Text Search Queries To Protect User Privacy
Summary: Embellish queries with decoy terms that mimic genuine term specificity to hide user intent in similarity-based text retrieval. A retrieval scheme computes encrypted relevance scores from the genuine terms only, while decoys remain indistinguishable, preserving precision/recall; empirical evaluation confirms effectiveness. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. HweeHwa Pang (Singapore Management University)
- 2. Xuhua Ding (Singapore Management University)
- 3. Xiaokui Xiao (Nanyang Technological University)
BibTeX Citation
@article{pang_vldb10,
title = {{Embellishing Text Search Queries To Protect User Privacy}},
author = {Pang, HweeHwa and Ding, Xuhua and Xiao, Xiaokui},
journal = {PVLDB},
series = {{VLDB} '10},
volume = {3},
number = {1},
pages = {598},
doi = {10.14778/1920841.1920918},
url = {https://doi.org/10.14778/1920841.1920918},
year = {2010}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,293 | Modular Order-Preserving Encryption, Revisited | 2015 | SIGMOD | 7.5517336e-05 |
| 9,086 | Privacy Preservation by Disassociation | 2012 | VLDB | 5.3251649e-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 |
|---|---|---|---|---|
| 4,031 | Authenticating the Query Results of Text Search Engines | 2008 | VLDB | 6.9458015e-05 |
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|---|---|---|---|---|
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| 3 | 3,232 | Privacy-preserving Anonymization of Set-valued Data | 2008 | VLDB |
| 4 | 4,625 | Practical Private Range Search Revisited | 2016 | SIGMOD |
| 5 | 7,320 | Privacy Implications of Database Ranking | 2015 | VLDB |
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| 7 | 5,086 | Privacy-Preserving Indexing of Documents on the Network | 2003 | VLDB |
| 8 | 12,280 | Efficiency and Security in Similarity Cloud Services | 2013 | VLDB |
| 9 | 12,309 | Aggregate Suppression for Enterprise Search Engines | 2012 | SIGMOD |
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