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Answering Private Linear Queries Adaptively using the Common Mechanism
Summary: For linear queries, they show any two DP mechanisms M1 and M2 can be decomposed into a shared mechanism M* plus residuals M1' and M2' such that M*+M1' ≡ M1 and M*+M2' ≡ M2 in accuracy and total privacy cost ρ. Release of M* lets an analyst adaptively choose to run M1' or M2' without splitting or wasting privacy budget.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 13045
- Venue
- VLDB
- Year
- 2023
- Pagerank
- 5.3228625e-05
- Overall Rank
- 9,512 | 33.90%
- DOI
-
10.14778/3594512.3594519
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 143 |
Boosting the Accuracy of Differentially Private Histograms Through Consistency |
2010 |
VLDB |
0.00029814788 |
| 298 |
Towards Practical Differential Privacy for SQL Queries |
2018 |
VLDB |
0.00022062013 |
| 1,581 |
A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy |
2014 |
VLDB |
0.00010361616 |
| 1,952 |
Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy |
2012 |
VLDB |
9.5026038e-05 |
| 2,113 |
Optimizing error of high-dimensional statistical queries under differential privacy |
2018 |
VLDB |
9.2103836e-05 |
| 2,261 |
Principled Evaluation of Differentially Private Algorithms using DPBench |
2016 |
SIGMOD |
8.9229053e-05 |
| 2,505 |
Understanding the Sparse Vector Technique for Differential Privacy |
2017 |
VLDB |
8.5607729e-05 |
| 2,767 |
iReduct: Differential Privacy with Reduced Relative Errors |
2011 |
SIGMOD |
8.2134648e-05 |
| 2,837 |
Data Synthesis via Differentially Private Markov Random Fields |
2021 |
VLDB |
8.1143382e-05 |
| 3,237 |
AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data |
2022 |
VLDB |
7.680385e-05 |
| 4,677 |
Optimal Random Perturbation at Multiple Privacy Levels |
2009 |
VLDB |
6.6315388e-05 |
| 5,596 |
APEx: Accuracy-Aware Differentially Private Data Exploration |
2019 |
SIGMOD |
6.2218599e-05 |
| 7,875 |
Optimizing Fitness-For-Use of Differentially Private Linear Queries |
2021 |
VLDB |
5.5949589e-05 |
| 9,418 |
Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms |
2020 |
VLDB |
5.3341661e-05 |
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