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2012.15713
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Kamino: Constraint-Aware Differentially Private Data Synthesis
Proceedings of the VLDB Endowment (PVLDB), 2020
31 December 2020
Chang Ge
Shubhankar Mohapatra
Xi He
Ihab F. Ilyas
SyDa
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Papers citing
"Kamino: Constraint-Aware Differentially Private Data Synthesis"
29 / 29 papers shown
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The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data
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Exploring the Landscape for Generative Sequence Models for Specialized Data Synthesis
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Privacy-Enhanced Database Synthesis for Benchmark Publishing (Technical Report)
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Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data
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242
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Benchmarking Private Population Data Release Mechanisms: Synthetic Data vs. TopDown
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Differentially Private Data Generation with Missing Data
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544
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Private Synthetic Data Meets Ensemble Learning
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194
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DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms
Proceedings of the VLDB Endowment (PVLDB), 2023
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Danyu Sun
Amir Gilad
Ashwin Machanavajjhala
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CuTS: Customizable Tabular Synthetic Data Generation
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Post-processing Private Synthetic Data for Improving Utility on Selected Measures
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314
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Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding
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LDPTrace: Locally Differentially Private Trajectory Synthesis
Proceedings of the VLDB Endowment (PVLDB), 2023
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Machine Learning for Synthetic Data Generation: A Review
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PreFair: Privately Generating Justifiably Fair Synthetic Data
Proceedings of the VLDB Endowment (PVLDB), 2022
David Pujol
Amir Gilad
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342
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Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration
Proceedings of the VLDB Endowment (PVLDB), 2022
Miti Mazmudar
Thomas Humphries
Jiaxiang Liu
Matthew Rafuse
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162
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GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy
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Konstantin Klemmer
Hongkai Wen
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245
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Proceedings of the VLDB Endowment (PVLDB), 2022
Fumiyuki Kato
Tsubasa Takahashi
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Yang Cao
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364
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Benchmarking Differentially Private Synthetic Data Generation Algorithms
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AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy
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348
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Winning the NIST Contest: A scalable and general approach to differentially private synthetic data
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