Aggregate Suppression for Enterprise Search Engines

Summary: Tackles privacy risk of aggregate estimates exposed by keyword-search interfaces in enterprise search. Proposes suppression techniques that preserve per-query quality while limiting sensitive corpus-wide aggregates; theory and experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h6b8d9e32bcd89d8c
Venue: SIGMOD
Year: 2012
Pagerank: 4.9793485e-05
Overall Rank: 12,600 | 15.29%
DOI: 10.1145/2213836.2213890

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Mingyang Zhang (George Washington University)
2. Nan Zhang (George Washington University)
3. Gautam Das (University of Texas)

BibTeX Citation

@inproceedings{zhang_sigmod12,
        title = {{Aggregate Suppression for Enterprise Search Engines}},
        author = {Zhang, Mingyang and Zhang, Nan and Das, Gautam},
        series = {{SIGMOD} '12},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2213836.2213890},
        url = {https://dl.acm.org/doi/10.1145/2213836.2213890},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
68	Privacy-Preserving Data Mining	2000	SIGMOD	0.00037958605
1,097	Privacy Preserving OLAP	2005	SIGMOD	0.00012041002
2,449	Simulatable Auditing	2005	PODS	8.4490697e-05
3,359	Towards Robustness in Query Auditing	2006	VLDB	7.3781883e-05
8,065	Mining a Search Engine’s Corpus: Efficient Yet Unbiased Sampling and Aggregate Estimation	2011	SIGMOD	5.3952009e-05
12,675	Randomized Generalization for Aggregate Suppression Over Hidden Web Databases	2011	VLDB	4.9793485e-05
12,785	Privacy Preservation of Aggregates in Hidden Databases: Why and How?	2009	SIGMOD	4.9793485e-05

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