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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
- 13044
- Venue
- VLDB
- Year
- 2023
- Pagerank
- 4.3335882e-05
- Overall Rank
- 9,512 | 33.83%
- 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 |
| 178 |
Boosting the Accuracy of Differentially Private Histograms Through Consistency |
2010 |
VLDB |
0.00037697111 |
| 453 |
Towards Practical Differential Privacy for SQL Queries |
2018 |
VLDB |
0.00022741848 |
| 1,935 |
A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy |
2014 |
VLDB |
0.00010032967 |
| 2,052 |
Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy |
2012 |
VLDB |
9.676612e-05 |
| 2,434 |
Optimizing error of high-dimensional statistical queries under differential privacy |
2018 |
VLDB |
8.8278955e-05 |
| 2,465 |
Principled Evaluation of Differentially Private Algorithms using DPBench |
2016 |
SIGMOD |
8.7518123e-05 |
| 2,758 |
Understanding the Sparse Vector Technique for Differential Privacy |
2017 |
VLDB |
8.1653216e-05 |
| 2,776 |
iReduct: Differential Privacy with Reduced Relative Errors |
2011 |
SIGMOD |
8.1326122e-05 |
| 2,881 |
Data Synthesis via Differentially Private Markov Random Fields |
2021 |
VLDB |
7.9665978e-05 |
| 3,329 |
AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data |
2022 |
VLDB |
7.2156424e-05 |
| 4,794 |
Optimal Random Perturbation at Multiple Privacy Levels |
2009 |
VLDB |
5.9161511e-05 |
| 6,065 |
APEx: Accuracy-Aware Differentially Private Data Exploration |
2019 |
SIGMOD |
5.2291685e-05 |
| 7,997 |
Optimizing Fitness-For-Use of Differentially Private Linear Queries |
2021 |
VLDB |
4.6105691e-05 |
| 9,417 |
Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms |
2020 |
VLDB |
4.3441378e-05 |
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