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Adore: Differentially Oblivious Relational Database Operators

Summary: Adore develops differentially-oblivious relational operators (selection+projection, grouping+aggregation, foreign-key join) and formally proves they meet differential obliviousness, trading bounded leakage for lower access-pattern cost. Compared to fully-oblivious baselines, Adore cuts cache/runtime complexity and output size, yielding up to 7.4× speedup. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13524
Venue
VLDB
Year
2023
Pagerank
7.0670506e-05
Overall Rank
3,859 | 73.53%
DOI
10.14778/3574245.3574267

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{qin_vldb23,
        title = {{Adore: Differentially Oblivious Relational Database Operators}},
        author = {Qin, Lianke and Jayaram, Rajesh and Shi, Elaine and Song, Zhao and Zhuo, Danyang and Chu, Shumo},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {4},
        pages = {842--855},
        doi = {10.14778/3574245.3574267},
        url = {https://doi.org/10.14778/3574245.3574267},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 18 of 18 cited papers.

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

Rank Cited Paper Year Venue Pagerank
24 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00054865648
62 Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis 2009 SIGMOD 0.00038970535
66 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00038561587
73 Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases 2017 SIGMOD 0.00037333356
237 Amazon Redshift and the Case for Simpler Data Warehouses 2015 SIGMOD 0.0002369895
281 Towards Practical Differential Privacy for SQL Queries 2018 VLDB 0.00022445849
526 TrustedDB: A Trusted Hardware based Database with Privacy and Data Confidentiality 2011 SIGMOD 0.00017112934
1,144 PrivateSQL: A Differentially Private SQL Query Engine 2019 VLDB 0.00011999046
1,424 Azure SQL Database Always Encrypted 2020 SIGMOD 0.00010819191
1,453 Dremel: A Decade of Interactive SQL Analysis at Web Scale 2020 VLDB 0.00010742227
1,459 SMCQL: Secure Querying for Federated Databases 2017 VLDB 0.00010717725
1,615 Arx: An Encrypted Database using Semantically Secure Encryption 2019 VLDB 0.00010214058
1,906 GUPT: Privacy Preserving Data Analysis Made Easy 2012 SIGMOD 9.5020196e-05
1,984 Shrinkwrap: Efficient SQL Query Processing in Differentially Private Data Federations 2019 VLDB 9.3540912e-05
2,537 Secure Database-as-a-Service with Cipherbase 2013 SIGMOD 8.4549061e-05
4,291 A Framework for Adversarially Robust Streaming Algorithms 2020 PODS 6.7786745e-05
4,304 VeriDB: An SGX-based Verifiable Database 2021 SIGMOD 6.7709608e-05
4,625 Practical Private Range Search Revisited 2016 SIGMOD 6.5989597e-05
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