Minimax optimal differentially private synthetic data for smooth queries | Paper Citation Record

Observation b41466ab-5ebd-4249-8bf8-b9bc9e31512f · outbound

This paper cites Deep learning with differential privacy.

Minimax optimal differentially private synthetic data for smooth queries Deep learning with differential privacy

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This paper cites Census topdown: Differentially private data, in- cremental schemas, and consistency with public knowledge.US Census Bureau, 2019.

Minimax optimal differentially private synthetic data for smooth queries Census topdown: Differentially private data, in- cremental schemas, and consistency with public knowledge.US Census Bureau, 2019

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This paper cites Differentially private assouad, fano, and le cam.

Minimax optimal differentially private synthetic data for smooth queries Differentially private assouad, fano, and le cam

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This paper cites Differ- entially private covariance estimation.Advances in Neural Information Processing Systems, 32, 2019.

Minimax optimal differentially private synthetic data for smooth queries Differ- entially private covariance estimation.Advances in Neural Information Processing Systems, 32, 2019

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This paper cites Wasserstein concentration of empirical measures for dependent data via the method of moments.arXiv preprint arXiv:2601.07228, 2026.

Minimax optimal differentially private synthetic data for smooth queries Wasserstein concentration of empirical measures for dependent data via the method of moments.arXiv preprint arXiv:2601.07228, 2026

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Minimax optimal differentially private synthetic data for smooth queries On the Gibbs exponential mechanism and private synthetic data generation

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Minimax optimal differentially private synthetic data for smooth queries Improving the gaussian mechanism for differential pri- vacy: Analytical calibration and optimal denoising

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Minimax optimal differentially private synthetic data for smooth queries Privacy, accuracy, and consistency too: a holistic solution to contingency table release

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Minimax optimal differentially private synthetic data for smooth queries Privacy and synthetic datasets.Stan

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Observation 1446647c-b194-494b-b74a-09bfecb12e67 · outbound

This paper cites A learning theory approach to noninterac- tive database privacy.Journal of the ACM (JACM), 60(2):1–25, 2013.

Minimax optimal differentially private synthetic data for smooth queries A learning theory approach to noninterac- tive database privacy.Journal of the ACM (JACM), 60(2):1–25, 2013

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Observation 6a93abb4-57d5-426b-81c6-f8754af495af · outbound

This paper cites Private measures, random walks, and synthetic data.Probability theory and related fields, 189(1):569–611, 2024.

Minimax optimal differentially private synthetic data for smooth queries Private measures, random walks, and synthetic data.Probability theory and related fields, 189(1):569–611, 2024

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Observation 785864da-328c-4d3a-9465-f273d26fa0bb · outbound

This paper cites Synthetic data generators–sequential and private.Advances in Neural Information Processing Systems, 33:7114–7124, 2020.

Minimax optimal differentially private synthetic data for smooth queries Synthetic data generators–sequential and private.Advances in Neural Information Processing Systems, 33:7114–7124, 2020

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Minimax optimal differentially private synthetic data for smooth queries A universal law of robustness via isoperimetry.Advances in Neural Information Processing Systems, 34:28811–28822, 2021

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Observation 391eb54b-bac1-423c-87be-4e38b3b1c6b7 · outbound

This paper cites Continual release of differentially private synthetic data from longitudinal data collections.Proceedings of the ACM on Management of Data, 2(2):1–26, 2024.

Minimax optimal differentially private synthetic data for smooth queries Continual release of differentially private synthetic data from longitudinal data collections.Proceedings of the ACM on Management of Data, 2(2):1–26, 2024

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Observation 17ff9afb-1dbf-4771-858e-850d9ca2df36 · outbound

This paper cites Make up your mind: The price of online queries in differential privacy.

Minimax optimal differentially private synthetic data for smooth queries Make up your mind: The price of online queries in differential privacy

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Minimax optimal differentially private synthetic data for smooth queries Fingerprinting codes and the price of approximate differential privacy

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Minimax optimal differentially private synthetic data for smooth queries The cost of privacy: Optimal rates of convergence for parameter estimation with differential privacy.The Annals of Statistics, 49(5):2825–2850, 2021

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Observation fd0710a9-e430-47f0-87e3-b53594f31799 · outbound

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Minimax optimal differentially private synthetic data for smooth queries Differentially private histogram with valid statistics.Statistics & Probability Letters, 219:110354, 2025

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Observation 01b4571c-3a92-4ff7-a891-2a559d51417e · outbound

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Minimax optimal differentially private synthetic data for smooth queries A short course on approximation theory.Bowling Green State University, Bowling Green, OH, 38, 1998

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Minimax optimal differentially private synthetic data for smooth queries Privacy-preserving logistic regression.Ad- vances in neural information processing systems, 21, 2008

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Minimax optimal differentially private synthetic data for smooth queries Differentially private empirical risk minimization.Journal of Machine Learning Research, 12(3), 2011

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Observation 0f0cba7d-1ed7-4d40-83b2-2193c4d4a31e · outbound

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Minimax optimal differentially private synthetic data for smooth queries Privacy at scale: Local differential privacy in practice

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Minimax optimal differentially private synthetic data for smooth queries Certified private data release for sparse lipschitz functions

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Minimax optimal differentially private synthetic data for smooth queries Minimax optimal proce- dures for locally private estimation.Journal of the American Statistical Association, 113(521):182–201, 2018

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Minimax optimal differentially private synthetic data for smooth queries Differential privacy in practice: Expose your epsilons!Journal of Privacy and Confidentiality, 9(2), 2019

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Minimax optimal differentially private synthetic data for smooth queries The algorithmic foundations of differential privacy.Foun- dations and Trends®in Theoretical Computer Science, 9(3–4):211–407, 2014

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Minimax optimal differentially private synthetic data for smooth queries Instance-optimal private density estimation in the wasserstein distance.Advances in Neural Information Processing Systems, 37:90061–90131, 2024

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This paper cites JHU press, 2013.

Minimax optimal differentially private synthetic data for smooth queries JHU press, 2013

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Minimax optimal differentially private synthetic data for smooth queries Private evolution converges.arXiv preprint arXiv:2506.08312, 2025

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Minimax optimal differentially private synthetic data for smooth queries Mirror descent algorithms with nearly dimension-independent rates for differentially-private stochastic saddle-point problems.arXiv preprint arXiv:2403.02912, 2024

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Minimax optimal differentially private synthetic data for smooth queries Differentially private wasserstein barycenters.arXiv preprint arXiv:2510.03021, 2025

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Minimax optimal differentially private synthetic data for smooth queries A simple and practical algorithm for differentially private data release.Advances in neural information processing systems, 25, 2012

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Minimax optimal differentially private synthetic data for smooth queries A multiplicative weights mechanism for privacy- preserving data analysis

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Minimax optimal differentially private synthetic data for smooth queries Differential privacy in the 2020 census will distort covid-19 rates.Socius, 7:2378023121994014, 2021

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Minimax optimal differentially private synthetic data for smooth queries Implementing differential privacy: Seven lessons from the 2020 United States Census.Harvard Data Science Review, 2(2), 2020

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Minimax optimal differentially private synthetic data for smooth queries Differentially private low- dimensional synthetic data from high-dimensional datasets.Information and Inference: A Journal of the IMA, 14(1):iaae034, 2025

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Minimax optimal differentially private synthetic data for smooth queries Algorithmically effective differentially private synthetic data

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Minimax optimal differentially private synthetic data for smooth queries Private synthetic data generation in bounded memory.Proceedings of the ACM on Management of Data, 3(2):1– 25, 2025

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Minimax optimal differentially private synthetic data for smooth queries On approximation by trigonometric sums and polynomials.Transactions of the American Mathematical society, 13(4):491–515, 1912

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Minimax optimal differentially private synthetic data for smooth queries American Mathematical Soc., 1930

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Minimax optimal differentially private synthetic data for smooth queries Cambridge Mathematical Library

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Minimax optimal differentially private synthetic data for smooth queries Lipschitz clustering in metric spaces.The Journal of Geometric Anal- ysis, 32(7):188, 2022

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Minimax optimal differentially private synthetic data for smooth queries Differentially Private Synthetic Data via Foundation Model APIs 1: Images

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Minimax optimal differentially private synthetic data for smooth queries Optimizing error of high-dimensional statistical queries under differential privacy.Proceedings of the VLDB Endowment, 11(10), 2018

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Minimax optimal differentially private synthetic data for smooth queries A dy- namical system perspective for Lipschitz neural networks

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Minimax optimal differentially private synthetic data for smooth queries How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy

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Minimax optimal differentially private synthetic data for smooth queries Stochastic gradient descent with differentially private updates

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Minimax optimal differentially private synthetic data for smooth queries On integral probability metrics, \phi-divergences and binary classification

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Minimax optimal differentially private synthetic data for smooth queries Between Pure and Approximate Differential Privacy

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Minimax optimal differentially private synthetic data for smooth queries Differentially private k-means clustering

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Minimax optimal differentially private synthetic data for smooth queries 1, Basic theory

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Minimax optimal differentially private synthetic data for smooth queries Private multiplicative weights beyond linear queries

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Minimax optimal differentially private synthetic data for smooth queries Pcps and the hardness of generating synthetic data

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Minimax optimal differentially private synthetic data for smooth queries Springer, 2009

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Minimax optimal differentially private synthetic data for smooth queries A closed form scale bound for the $(\epsilon, \delta)$-differentially private Gaussian Mechanism valid for all privacy regimes

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Observation 10e36951-a8c0-4639-bf3f-ecd35eab7be3 · outbound

This paper cites Distance-based classification with Lipschitz functions.J.

Minimax optimal differentially private synthetic data for smooth queries Distance-based classification with Lipschitz functions.J

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Observation 287db72f-c7d5-43f9-8020-783576bd922b · outbound

This paper cites Differentially private data releasing for smooth queries.The Journal of Machine Learning Research, 17(1):1779–1820, 2016.

Minimax optimal differentially private synthetic data for smooth queries Differentially private data releasing for smooth queries.The Journal of Machine Learning Research, 17(1):1779–1820, 2016

Reference 60

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This paper cites A statistical framework for differential privacy.

Minimax optimal differentially private synthetic data for smooth queries A statistical framework for differential privacy

Reference 61

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Observation 83cdebe6-40e2-4a07-8a87-4c880bd17843 · outbound

This paper cites Private Synthetic Graph Generation and Fused Gromov-Wasserstein Distance.

Minimax optimal differentially private synthetic data for smooth queries Private Synthetic Graph Generation and Fused Gromov-Wasserstein Distance

Reference 62

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This paper cites Assouad, fano, and le cam.

Minimax optimal differentially private synthetic data for smooth queries Assouad, fano, and le cam

Reference 63

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Minimax optimal differentially private synthetic data for smooth queries Unresolved cited work

Reference 64

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Reference 65

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Reference 66

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This paper cites 23 Lemma 12(Jackson’s Theorem for 1-dimensionalk-smooth functions, [40]).Letm, k≥1and a even periodic functiongwith period2πsatisfies∥g (k)∥L∞([0,π]d) ≤1.

Minimax optimal differentially private synthetic data for smooth queries 23 Lemma 12(Jackson’s Theorem for 1-dimensionalk-smooth functions, [40]).Letm, k≥1and a even periodic functiongwith period2πsatisfies∥g (k)∥L∞([0,π]d) ≤1

Reference 67

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