Understanding Hierarchical Methods for Differentially Private Histograms
Summary: Analyzes MSE in DP hierarchical histograms across branching factors, constrained inference, and privacy allocation. Shows optimized branching plus inference improves 1D range queries, while hierarchical gains largely vanish in ≥3D, favoring the Flat method. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wahbeh Qardaji (Purdue University)
- 2. Weining Yang (Purdue University)
- 3. Ninghui Li (Purdue University)
BibTeX Citation
@article{qardaji_vldb13,
title = {{Understanding Hierarchical Methods for Differentially Private Histograms}},
author = {Qardaji, Wahbeh and Yang, Weining and Li, Ninghui},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {14},
pages = {1954--1965},
doi = {10.14778/2556549.2556576},
url = {https://doi.org/10.14778/2556549.2556576},
year = {2013}
}Incoming Citations (Sorted by Pagerank)
Showing 38 of 38 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 121 | Boosting the Accuracy of Differentially Private Histograms Through Consistency | 2010 | VLDB | 0.0003107472 |
| 122 | Revealing Information while Preserving Privacy | 2003 | PODS | 0.00030756232 |
| 133 | Privacy, Accuracy, and Consistency Too: A Holistic Solution to Contingency Table Release | 2007 | PODS | 0.00030046147 |
| 520 | Practical Privacy: The SuLQ Framework | 2005 | PODS | 0.00016931295 |
| 626 | Optimizing Linear Counting Queries Under Differential Privacy | 2010 | PODS | 0.00015471495 |
| 800 | Differentially Private Data Cubes: Optimizing Noise Sources and Consistency | 2011 | SIGMOD | 0.0001386914 |
| 1,991 | Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy | 2012 | VLDB | 9.2419484e-05 |
| 2,129 | An Adaptive Mechanism for Accurate Query Answering under Differential Privacy | 2012 | VLDB | 8.9967149e-05 |
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