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Recursive Mechanism: Towards Node Differential Privacy and Unrestricted Joins
Summary: Introduces Recursive Mechanism for differential privacy on aggregates produced by relational algebra queries with unrestricted joins. Defines empirical sensitivity to bound error and enables node-DP subgraph counting for arbitrary subgraphs, surpassing edge-DP limitations.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 4712
- Venue
- SIGMOD
- Year
- 2013
- Pagerank
- 0.00013465351
- Overall Rank
- 1,177 | 91.83%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 24 of 24 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 451 |
Towards Practical Differential Privacy for SQL Queries |
2018 |
VLDB |
0.00022807098 |
| 1,516 |
PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions |
2016 |
SIGMOD |
0.00011558246 |
| 1,607 |
Calibrating Data to Sensitivity in Private Data Analysis: A Platform for Differentially-Private Analysis of Weighted Datasets |
2014 |
VLDB |
0.00011171719 |
| 1,740 |
PrivateSQL: A Differentially Private SQL Query Engine |
2019 |
VLDB |
0.00010696383 |
| 2,224 |
Publishing Graph Degree Distribution with Node Differential Privacy |
2016 |
SIGMOD |
9.256869e-05 |
| 2,686 |
Private Release of Graph Statistics using Ladder Functions |
2015 |
SIGMOD |
8.31087e-05 |
| 3,083 |
Computing Local Sensitivities of Counting Queries with Joins |
2020 |
SIGMOD |
7.5985351e-05 |
| 4,942 |
Privacy Preserving Subgraph Matching on Large Graphs in Cloud |
2016 |
SIGMOD |
5.8124358e-05 |
| 5,249 |
Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics |
2017 |
SIGMOD |
5.600946e-05 |
| 5,499 |
R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys |
2022 |
SIGMOD |
5.4737427e-05 |
| 6,406 |
Publishing Attributed Social Graphs with Formal Privacy Guarantees |
2016 |
SIGMOD |
5.0704962e-05 |
| 7,059 |
Residual Sensitivity for Differentially Private Multi-Way Joins |
2021 |
SIGMOD |
4.8404261e-05 |
| 7,437 |
Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy |
2023 |
SIGMOD |
4.7258659e-05 |
| 7,441 |
Continual Observation of Joins under Differential Privacy |
2024 |
SIGMOD |
4.7251588e-05 |
| 7,584 |
A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries |
2022 |
PODS |
4.7015411e-05 |
| 7,620 |
Budget Sharing for Multi-Analyst Differential Privacy |
2021 |
VLDB |
4.6896122e-05 |
| 7,865 |
Differentially Private Data Release over Multiple Tables |
2023 |
PODS |
4.6282846e-05 |
| 7,943 |
DPGraph: A Benchmark Platform for Differentially Private Graph Analysis |
2021 |
SIGMOD |
4.6089395e-05 |
| 7,946 |
Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity |
2021 |
VLDB |
4.6089395e-05 |
| 8,873 |
Privacy Amplification by Sampling under User-level Differential Privacy |
2024 |
SIGMOD |
4.4271393e-05 |
| 10,094 |
N2E: A General Framework to Reduce Node-Differential Privacy to Edge-Differential Privacy for Graph Analytics |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,360 |
Fully Dynamic Algorithms for Graph Databases with Edge Differential Privacy |
2025 |
PODS |
4.1905499e-05 |
| 10,995 |
Personalized Truncation for Personalized Privacy |
2024 |
SIGMOD |
4.1905499e-05 |
| 11,167 |
Node-Differentially Private Estimation of the Number of Connected Components |
2023 |
PODS |
4.1905499e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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