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OBSCURE: Information-Theoretic Oblivious and Verifiable Aggregation Queries

Summary: OBSCURE delivers communication-efficient, information-theoretically secure MPC for oblivious aggregation over secret-shared data, hiding queries, results, and databases from clouds and networks. Optional privacy-preserving verification detects malicious behavior, with experiments demonstrating scalability to large datasets. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11992
Venue
VLDB
Year
2019
Pagerank
5.3107345e-05
Overall Rank
9,162 | 37.15%
DOI
10.14778/3329772.3329779

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{gupta_vldb19,
        title = {{OBSCURE: Information-Theoretic Oblivious and Verifiable Aggregation Queries}},
        author = {Gupta, Peeyush and Li, Yin and Mehrotra, Sharad and Panwar, Nisha and Sharma, Shantanu and Almanee, Sumaya},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {9},
        pages = {1030--1043},
        doi = {10.14778/3329772.3329779},
        url = {https://doi.org/10.14778/3329772.3329779},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

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

Rank Cited Paper Year Venue Pagerank
114 Executing SQL over Encrypted Data in the Database-Service-Provider Model 2002 SIGMOD 0.00032363776
310 Order Preserving Encryption for Numeric Data 2004 SIGMOD 0.00021766789
412 Processing Analytical Queries over Encrypted Data 2013 VLDB 0.00018901853
1,724 CorrectDB: SQL Engine with Practical Query Authentication 2013 VLDB 9.9199577e-05
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