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Residual Sensitivity for Differentially Private Multi-Way Joins
Summary: Proposes residual sensitivity, an instance-aware DP measure in multiway joins, reducing sensitivity by modeling join influence across data. First DP for multiway joins with low noise, fast computation, and DB integration, enabling a practical private query engine.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6095
- Venue
- SIGMOD
- Year
- 2021
- Pagerank
- 4.8404261e-05
- Overall Rank
- 7,059 | 50.95%
- DOI
-
10.1145/3448016.3452813
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 15 of 15 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 5,499 |
R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys |
2022 |
SIGMOD |
5.4737427e-05 |
| 7,416 |
DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance |
2023 |
SIGMOD |
4.7309698e-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 |
| 7,865 |
Differentially Private Data Release over Multiple Tables |
2023 |
PODS |
4.6282846e-05 |
| 8,507 |
Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense |
2024 |
VLDB |
4.4909322e-05 |
| 9,653 |
Secure Sampling for Approximate Multi-party Query Processing |
2023 |
SIGMOD |
4.3067693e-05 |
| 9,768 |
DPXPlain: Privately Explaining Aggregate Query Answers |
2023 |
VLDB |
4.2815042e-05 |
| 9,799 |
DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries |
2023 |
SIGMOD |
4.2777144e-05 |
| 10,041 |
A General Framework for Per-record Differential Privacy |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,094 |
N2E: A General Framework to Reduce Node-Differential Privacy to Edge-Differential Privacy for Graph Analytics |
2026 |
SIGMOD |
4.1905499e-05 |
| 11,077 |
Confidence Intervals for Private Query Processing |
2024 |
VLDB |
4.1905499e-05 |
| 11,115 |
DOP-SQL: A General-purpose, High-utility, and Extensible Private SQL System |
2024 |
VLDB |
4.1905499e-05 |
| 11,166 |
Universal Private Estimators |
2023 |
PODS |
4.1905499e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 83 |
Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis |
2009 |
SIGMOD |
0.00053910987 |
| 111 |
Privacy, Accuracy, and Consistency Too: A Holistic Solution to Contingency Table Release |
2007 |
PODS |
0.00047047599 |
| 451 |
Towards Practical Differential Privacy for SQL Queries |
2018 |
VLDB |
0.00022807098 |
| 506 |
Relationship Privacy: Output Perturbation for Queries with Joins |
2009 |
PODS |
0.00021481335 |
| 642 |
Private Analysis of Graph Structure |
2011 |
VLDB |
0.00018757732 |
| 714 |
Understanding Hierarchical Methods for Differentially Private Histograms |
2013 |
VLDB |
0.00017670757 |
| 1,177 |
Recursive Mechanism: Towards Node Differential Privacy and Unrestricted Joins |
2013 |
SIGMOD |
0.00013465351 |
| 1,463 |
No Free Lunch in Data Privacy |
2011 |
SIGMOD |
0.00011856229 |
| 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 |
| 1,762 |
PriView: Practical Differentially Private Release of Marginal Contingency Tables |
2014 |
SIGMOD |
0.00010629368 |
| 2,173 |
AJAR: Aggregations and Joins over Annotated Relations |
2016 |
PODS |
9.3767985e-05 |
| 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 |
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