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Publishing Graph Degree Distribution with Node Differential Privacy
Summary: Publishes a graph degree distribution under node-DP by projecting to lower sensitivity, using aggregation-based and cumulative-histogram methods. Reports strong accuracy gains over prior work; includes an introspective analysis of key factors.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 5283
- Venue
- SIGMOD
- Year
- 2016
- Pagerank
- 9.2421776e-05
- Overall Rank
- 2,226 | 84.52%
- DOI
-
10.1145/2882903.2926745
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 16 of 16 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 1,738 |
PrivateSQL: A Differentially Private SQL Query Engine |
2019 |
VLDB |
0.00010720057 |
| 4,754 |
Differentially Private Binary- and Matrix-Valued Data Query: An XOR Mechanism |
2021 |
VLDB |
5.9468785e-05 |
| 5,246 |
Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics |
2017 |
SIGMOD |
5.6063332e-05 |
| 5,491 |
R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys |
2022 |
SIGMOD |
5.4776364e-05 |
| 6,235 |
Global and Local Differentially Private Release of Count-Weighted Graphs |
2023 |
SIGMOD |
5.1451658e-05 |
| 7,064 |
Residual Sensitivity for Differentially Private Multi-Way Joins |
2021 |
SIGMOD |
4.8450749e-05 |
| 7,579 |
A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries |
2022 |
PODS |
4.706055e-05 |
| 7,940 |
DPGraph: A Benchmark Platform for Differentially Private Graph Analysis |
2021 |
SIGMOD |
4.613363e-05 |
| 8,873 |
Privacy Amplification by Sampling under User-level Differential Privacy |
2024 |
SIGMOD |
4.4313867e-05 |
| 9,405 |
Common Neighborhood Estimation over Bipartite Graphs under Local Differential Privacy |
2024 |
SIGMOD |
4.3441378e-05 |
| 9,796 |
DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries |
2023 |
SIGMOD |
4.2818172e-05 |
| 10,094 |
N2E: A General Framework to Reduce Node-Differential Privacy to Edge-Differential Privacy for Graph Analytics |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,157 |
Efficient and Effective Biclique Counting with Local Differential Privacy |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,348 |
Fully Dynamic Algorithms for Graph Databases with Edge Differential Privacy |
2025 |
PODS |
4.1945683e-05 |
| 10,513 |
Computing Inconsistency Measures Under Differential Privacy |
2025 |
SIGMOD |
4.1945683e-05 |
| 11,164 |
Node-Differentially Private Estimation of the Number of Connected Components |
2023 |
PODS |
4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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