A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries

Summary: DP mechanism for conjunctive/graph-pattern counts achieving near-instance-optimal error (constant-factor relaxation of instance-optimality). Constructive algorithm with provable per-instance near-optimal error, replacing prior approaches lacking any optimality guarantees. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 1869
Venue: PODS
Year: 2022
Pagerank: 5.653597e-05
Overall Rank: 7,292 | 49.98%
DOI: 10.1145/3517804.3524143

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_pods22,
        address = {New York, NY, USA},
        series = {{PODS} '22},
        title = {{A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries}},
        url = {https://dl.acm.org/doi/10.1145/3517804.3524143},
        doi = {10.1145/3517804.3524143},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Dong, Wei and Yi, Ke},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 15 of 15 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
6,534	Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy	2023	SIGMOD	5.8486828e-05
7,456	Privacy Amplification by Sampling under User-level Differential Privacy	2024	SIGMOD	5.6124452e-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
11,369	Universal Private Estimators	2023	PODS	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 20 of 20 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
5	Optimal Aggregation Algorithms for Middleware [Extended Abstract]	2001	PODS	0.0010828372
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
358	FAQ: Questions Asked Frequently	2016	PODS	0.00020243592
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
1,109	What do Shannon-type Inequalities, Submodular Width, and Disjunctive Datalog have to do with one another?	2017	PODS	0.00012142685
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
4,394	R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys	2022	SIGMOD	6.7274063e-05
6,666	Residual Sensitivity for Differentially Private Multi-Way Joins	2021	SIGMOD	5.8086805e-05
11,369	Universal Private Estimators	2023	PODS	5.093636e-05

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1	2,300	Principled Evaluation of Differentially Private Algorithms using DPBench	2016	SIGMOD
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3	4,394	R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys	2022	SIGMOD
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