Differentially Private Hierarchical Count-of-Counts Histograms
Summary: Private release of hierarchical count-of-counts histograms over grouped data, with queries at multiple granularity levels (national, state, county). Proposes a DP framework with error metrics and a consistency-preserving algorithm that enforces cross-level coherence of histograms. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yu-Hsuan Kuo
- 2. Cho-Chun Chiu
- 3. Daniel Kifer
- 4. Michael Hay
- 5. Ashwin Machanavajjhala
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,727 | QuickSel: Quick Selectivity Learning with Mixture Models | 2020 | SIGMOD | 0.00010731889 |
| 11,518 | ATLANTIC: Making Database Differentially Private and Faster with Accuracy Guarantee | 2021 | VLDB | 4.1905499e-05 |
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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 |
|---|---|---|---|---|
| 178 | Boosting the Accuracy of Differentially Private Histograms Through Consistency | 2010 | VLDB | 0.00037726596 |
| 714 | Understanding Hierarchical Methods for Differentially Private Histograms | 2013 | VLDB | 0.00017670757 |
| 742 | Optimizing Linear Counting Queries Under Differential Privacy | 2010 | PODS | 0.00017336928 |
| 872 | Differentially Private Data Cubes: Optimizing Noise Sources and Consistency | 2011 | SIGMOD | 0.00015702532 |
| 1,516 | PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions | 2016 | SIGMOD | 0.00011558246 |
| 1,928 | A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy | 2014 | VLDB | 0.00010062105 |
| 6,692 | Information Preservation in Statistical Privacy and Bayesian Estimation of Unattributed Histograms | 2013 | SIGMOD | 4.9568011e-05 |
| 7,311 | Pythia: Data Dependent Differentially Private Algorithm Selection | 2017 | SIGMOD | 4.7605916e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,073 | Answering Range Queries Under Local Differential Privacy | 2019 | SIGMOD | 7.6098046e-05 |
| 6,231 | Global and Local Differentially Private Release of Count-Weighted Graphs | 2023 | SIGMOD | 5.1402278e-05 |
| 3,401 | Answering Range Queries Under Local Differential Privacy | 2019 | VLDB | 7.1343786e-05 |
| 3,103 | Publishing Set-Valued Data via Differential Privacy | 2011 | VLDB | 7.5578714e-05 |
| 11,437 | Data-Independent Space Partitionings for Summaries | 2021 | PODS | 4.1905499e-05 |
| 178 | Boosting the Accuracy of Differentially Private Histograms Through Consistency | 2010 | VLDB | 0.00037726596 |
| 2,436 | Optimizing error of high-dimensional statistical queries under differential privacy | 2018 | VLDB | 8.8217855e-05 |
| 1,516 | PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions | 2016 | SIGMOD | 0.00011558246 |
| 714 | Understanding Hierarchical Methods for Differentially Private Histograms | 2013 | VLDB | 0.00017670757 |
| 8,520 | Differentially Private Hierarchical Heavy Hitters | 2024 | PODS | 4.4893996e-05 |