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)
Incoming Non-self Citations Over Time
Authors
- 1. Lianke Qin (University of California Santa Barbara)
- 2. Rajesh Jayaram (Carnegie Mellon University)
- 3. Elaine Shi (Carnegie Mellon University)
- 4. Zhao Song (Adobe)
- 5. Danyang Zhuo (Duke University)
- 6. Shumo Chu (p0x labs)
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.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,906 | FedKNN: Secure Federated k-Nearest Neighbor Search | 2024 | SIGMOD | 7.0287643e-05 |
| 7,420 | Doquet: Differentially Oblivious Range and Join Queries with Private Data Structures | 2023 | VLDB | 5.6226175e-05 |
| 8,249 | Femur: A Flexible Framework for Fast and Secure Querying from Public Key-Value Store | 2025 | SIGMOD | 5.4574671e-05 |
| 9,785 | Secure Sampling for Approximate Multi-party Query Processing | 2023 | SIGMOD | 5.2209769e-05 |
| 10,221 | Differentially Oblivious Multi-way Join | 2026 | SIGMOD | 5.093636e-05 |
| 10,803 | SPECIAL: SynoPsis AssistEd Secure CollaboratIve AnaLytics | 2025 | VLDB | 5.093636e-05 |
| 11,242 | SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores | 2024 | VLDB | 5.093636e-05 |
| 11,438 | Olive: Oblivious Federated Learning on Trusted Execution Environment Against the Risk of Sparsification | 2023 | VLDB | 5.093636e-05 |
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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.
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