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: 6156
Venue: SIGMOD
Year: 2021
Pagerank: 5.8086805e-05
Overall Rank: 6,666 | 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

@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}
}

Incoming Citations (Sorted by Pagerank)

Showing 17 of 17 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
4,394	R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys	2022	SIGMOD	6.7274063e-05
6,376	DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance	2023	SIGMOD	5.893174e-05
6,534	Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy	2023	SIGMOD	5.8486828e-05
7,292	A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries	2022	PODS	5.653597e-05
7,850	Differentially Private Data Release over Multiple Tables	2023	PODS	5.5316993e-05
8,158	Continual Observation of Joins under Differential Privacy	2024	SIGMOD	5.4756587e-05
8,503	Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense	2024	VLDB	5.4132367e-05
8,719	DPXPlain: Privately Explaining Aggregate Query Answers	2023	VLDB	5.3774243e-05
9,171	DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries	2023	SIGMOD	5.3093185e-05
9,785	Secure Sampling for Approximate Multi-party Query Processing	2023	SIGMOD	5.2209769e-05
10,188	Acyclic Graph Pattern Counting under Local Differential Privacy	2026	SIGMOD	5.093636e-05
10,221	Differentially Oblivious Multi-way Join	2026	SIGMOD	5.093636e-05
10,335	A General Framework for Per-record Differential Privacy	2026	SIGMOD	5.093636e-05
10,385	N2E: A General Framework to Reduce Node-Differential Privacy to Edge-Differential Privacy for Graph Analytics	2026	SIGMOD	5.093636e-05
11,280	Confidence Intervals for Private Query Processing	2024	VLDB	5.093636e-05
11,318	DOP-SQL: A General-purpose, High-utility, and Extensible Private SQL System	2024	VLDB	5.093636e-05
11,369	Universal Private Estimators	2023	PODS	5.093636e-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
62	Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis	2009	SIGMOD	0.00038970535
130	Privacy, Accuracy, and Consistency Too: A Holistic Solution to Contingency Table Release	2007	PODS	0.00030604781
281	Towards Practical Differential Privacy for SQL Queries	2018	VLDB	0.00022445849
567	Understanding Hierarchical Methods for Differentially Private Histograms	2013	VLDB	0.00016420715
596	Private Analysis of Graph Structure	2011	VLDB	0.00015926024
836	Recursive Mechanism: Towards Node Differential Privacy and Unrestricted Joins	2013	SIGMOD	0.00013715654
855	Relationship Privacy: Output Perturbation for Queries with Joins	2009	PODS	0.00013579513
1,144	PrivateSQL: A Differentially Private SQL Query Engine	2019	VLDB	0.00011999046
1,220	Calibrating Data to Sensitivity in Private Data Analysis: A Platform for Differentially-Private Analysis of Weighted Datasets	2014	VLDB	0.00011619529
1,230	No Free Lunch in Data Privacy	2011	SIGMOD	0.00011572271
1,549	AJAR: Aggregations and Joins over Annotated Relations	2016	PODS	0.00010390168
1,583	PriView: Practical Differentially Private Release of Marginal Contingency Tables	2014	SIGMOD	0.00010292522
1,790	Publishing Graph Degree Distribution with Node Differential Privacy	2016	SIGMOD	9.7502278e-05
1,960	Private Release of Graph Statistics using Ladder Functions	2015	SIGMOD	9.4058693e-05
2,436	Computing Local Sensitivities of Counting Queries with Joins	2020	SIGMOD	8.5806427e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	855	Relationship Privacy: Output Perturbation for Queries with Joins	2009	PODS
2	281	Towards Practical Differential Privacy for SQL Queries	2018	VLDB
3	6,534	Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy	2023	SIGMOD
4	7,147	Architecting a Differentially Private SQL Engine	2019	CIDR
5	1,144	PrivateSQL: A Differentially Private SQL Query Engine	2019	VLDB
6	836	Recursive Mechanism: Towards Node Differential Privacy and Unrestricted Joins	2013	SIGMOD
7	2,436	Computing Local Sensitivities of Counting Queries with Joins	2020	SIGMOD
8	8,158	Continual Observation of Joins under Differential Privacy	2024	SIGMOD
9	7,850	Differentially Private Data Release over Multiple Tables	2023	PODS
10	10,221	Differentially Oblivious Multi-way Join	2026	SIGMOD