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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
hc77128942f1a3165
Venue
SIGMOD
Year
2021
Pagerank
5.656894e-05
Overall Rank
6,823 | 54.27%
DOI
10.1145/3448016.3452813
Incoming Non-self Citations Over Time
Authors
1.
Wei Dong
(Hong Kong University of Science and Technology)
2.
Ke Yi
(Hong Kong University of Science and Technology)
BibTeX Citation
Copy BibTeX
@inproceedings{dong_sigmod21,
title = {{Residual Sensitivity for Differentially Private Multi-Way Joins}},
author = {Dong, Wei and Yi, Ke},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3452813},
url = {https://dl.acm.org/doi/10.1145/3448016.3452813},
year = {2021}
}
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Pagerank
64
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2007
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279
Towards Practical Differential Privacy for SQL Queries
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VLDB
0.00022277389
559
Understanding Hierarchical Methods for Differentially Private Histograms
2013
VLDB
0.00016409103
612
Private Analysis of Graph Structure
2011
VLDB
0.00015534022
858
Recursive Mechanism: Towards Node Differential Privacy and Unrestricted Joins
2013
SIGMOD
0.00013391977
880
Relationship Privacy: Output Perturbation for Queries with Joins
2009
PODS
0.00013249752
1,170
PrivateSQL: A Differentially Private SQL Query Engine
2019
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0.00011687052
1,249
Calibrating Data to Sensitivity in Private Data Analysis: A Platform for Differentially-Private Analysis of Weighted Datasets
2014
VLDB
0.00011336311
1,256
No Free Lunch in Data Privacy
2011
SIGMOD
0.00011304781
1,568
AJAR: Aggregations and Joins over Annotated Relations
2016
PODS
0.00010178045
1,620
PriView: Practical Differentially Private Release of Marginal Contingency Tables
2014
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0.00010041603
1,851
Publishing Graph Degree Distribution with Node Differential Privacy
2016
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9.4955175e-05
2,021
Private Release of Graph Statistics using Ladder Functions
2015
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9.160422e-05
2,497
Computing Local Sensitivities of Counting Queries with Joins
2020
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8.365674e-05
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