Back to papers
Kamino: Constraint-Aware Differentially Private Data Synthesis
Summary: Kamino uses integrity constraints and schema information to synthesize data under differential privacy, preserving structure and correlations. Empirically outperforms prior DP synthesis on classifier training and marginal queries while preserving privacy.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 12371
- Venue
- VLDB
- Year
- 2021
- Pagerank
- 6.7181688e-05
- Overall Rank
- 3,831 | 73.35%
- DOI
-
10.14778/3467861.3467876
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 12 of 12 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 3,329 |
AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data |
2022 |
VLDB |
7.2156424e-05 |
| 5,349 |
PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy |
2023 |
SIGMOD |
5.553869e-05 |
| 5,396 |
LDPTrace: Locally Differentially Private Trajectory Synthesis |
2023 |
VLDB |
5.5301599e-05 |
| 7,485 |
Differentially Private Data Generation with Missing Data |
2024 |
VLDB |
4.7180617e-05 |
| 8,472 |
Rapidash: Efficient Detection of Constraint Violations |
2024 |
VLDB |
4.5036378e-05 |
| 8,609 |
PreFair: Privately Generating Justifiably Fair Synthetic Data |
2023 |
VLDB |
4.4853979e-05 |
| 8,837 |
Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration |
2023 |
VLDB |
4.4393184e-05 |
| 9,592 |
HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data |
2022 |
VLDB |
4.3202988e-05 |
| 10,500 |
PrivPetal: Relational Data Synthesis via Permutation Relations |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,513 |
Computing Inconsistency Measures Under Differential Privacy |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,724 |
Privacy-Enhanced Database Synthesis for Benchmark Publishing |
2025 |
VLDB |
4.1945683e-05 |
| 11,143 |
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms |
2024 |
VLDB |
4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 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 |
0.00053933811 |
| 111 |
Privacy, Accuracy, and Consistency Too: A Holistic Solution to Contingency Table Release |
2007 |
PODS |
0.00047073785 |
| 192 |
HoloClean: Holistic Data Repairs with Probabilistic Inference |
2017 |
VLDB |
0.00035728858 |
| 453 |
Towards Practical Differential Privacy for SQL Queries |
2018 |
VLDB |
0.00022741848 |
| 555 |
Discovering Denial Constraints |
2013 |
VLDB |
0.00020254908 |
| 754 |
Distributed Representations of Tuples for Entity Resolution |
2018 |
VLDB |
0.00017117211 |
| 1,446 |
PrivBayes: Private Data Release via Bayesian Networks |
2014 |
SIGMOD |
0.0001194108 |
| 1,738 |
PrivateSQL: A Differentially Private SQL Query Engine |
2019 |
VLDB |
0.00010720057 |
| 1,764 |
PriView: Practical Differentially Private Release of Marginal Contingency Tables |
2014 |
SIGMOD |
0.00010636626 |
| 2,253 |
Efficient Denial Constraint Discovery with Hydra |
2018 |
VLDB |
9.1937209e-05 |
| 2,483 |
Discovery of Approximate (and Exact) Denial Constraints |
2020 |
VLDB |
8.6864916e-05 |
| 4,252 |
DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing |
2014 |
VLDB |
6.3233894e-05 |
| 4,884 |
Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration |
2020 |
VLDB |
5.8540287e-05 |
| 6,065 |
APEx: Accuracy-Aware Differentially Private Data Exploration |
2019 |
SIGMOD |
5.2291685e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 10,354 |
Private Synthetic Data Generation in Bounded Memory |
2025 |
PODS |
4.1945683e-05 |
| 2,291 |
Data Generation using Declarative Constraints |
2011 |
SIGMOD |
9.0926719e-05 |
| 8,280 |
Synthetic Tabular Data: Methods, Attacks and Defenses |
2025 |
VLDB |
4.5435639e-05 |
| 7,502 |
PSynDB: Accurate and Accessible Private Data Generation |
2019 |
VLDB |
4.7180617e-05 |
| 8,699 |
Supporting Database Constraints in Synthetic Data Generation based on Generative Adversarial Networks |
2020 |
SIGMOD |
4.465684e-05 |
| 2,881 |
Data Synthesis via Differentially Private Markov Random Fields |
2021 |
VLDB |
7.9665978e-05 |
| 2,421 |
Data Synthesis based on Generative Adversarial Networks |
2018 |
VLDB |
8.8514021e-05 |
| 4,884 |
Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration |
2020 |
VLDB |
5.8540287e-05 |
| 10,053 |
Benchmarking Differentially Private Tabular Data Synthesis: [Experiments & Analysis] |
2026 |
SIGMOD |
4.1945683e-05 |
| 3,304 |
Plausible Deniability for Privacy-Preserving Data Synthesis |
2017 |
VLDB |
7.2467347e-05 |