Differentially Private Data Generation with Missing Data

Summary: Formalizes DP synthetic-data generation with missing values and proposes three adaptive strategies that markedly improve utility across diverse missingness regimes. Models missingness as a sampling process to derive tighter bounds relating DP guarantees on incomplete inputs to privacy of the true complete data. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 13624
Venue: VLDB
Year: 2024
Pagerank: 5.5181056e-05
Overall Rank: 7,909 | 45.74%
DOI: 10.14778/3659437.3659455

Incoming Non-self Citations Over Time

Authors

1. Shubhankar Mohapatra (University of Waterloo)
2. Jianqiao Zong (University of Waterloo)
3. Florian Kerschbaum (University of Waterloo)
4. Xi He (University of Waterloo)

BibTeX Citation

@article{mohapatra_vldb24,
        title = {{Differentially Private Data Generation with Missing Data}},
        author = {Mohapatra, Shubhankar and Zong, Jianqiao and Kerschbaum, Florian and He, Xi},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {8},
        pages = {2022--2035},
        doi = {10.14778/3659437.3659455},
        url = {https://doi.org/10.14778/3659437.3659455},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,451	Enhancing Local Differential Privacy Accuracy by Exploiting Inherent Uncertainty	2026	SIGMOD	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 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
1,144	PrivateSQL: A Differentially Private SQL Query Engine	2019	VLDB	0.00011999046
1,169	PrivBayes: Private Data Release via Bayesian Networks	2014	SIGMOD	0.00011838753
1,583	PriView: Practical Differentially Private Release of Marginal Contingency Tables	2014	SIGMOD	0.00010292522
2,841	AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data	2022	VLDB	8.0637668e-05
3,412	Kamino: Constraint-Aware Differentially Private Data Synthesis	2021	VLDB	7.4344343e-05
3,939	DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing	2014	VLDB	7.008159e-05
4,837	PrivateClean: Data Cleaning and Differential Privacy	2016	SIGMOD	6.4845444e-05
5,055	APEx: Accuracy-Aware Differentially Private Data Exploration	2019	SIGMOD	6.3824509e-05

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