dpart: Differentially Private Autoregressive Tabular, a General
Framework for Synthetic Data Generation

dpart: Differentially Private Autoregressive Tabular, a General Framework for Synthetic Data Generation

12 July 2022

Kai Xu

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Papers citing "dpart: Differentially Private Autoregressive Tabular, a General Framework for Synthetic Data Generation"

5 / 5 papers shown

Title
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Sofiane Mahiou Amir Dizche Reza Nazari Xinmin Wu Ralph Abbey Jorge Silva Georgi Ganev 38 0 0 31 May 2025
The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data Georgi Ganev Meenatchi Sundaram Muthu Selva Annamalai Sofiane Mahiou Emiliano De Cristofaro 72 3 0 09 Apr 2025
Differentially-Private Data Synthetisation for Efficient Re-Identification Risk Control Tânia Carvalho Nuno Moniz Luís Antunes Nitesh Chawla 92 4 0 01 Dec 2022
On the Utility Recovery Incapability of Neural Net-based Differential Private Tabular Training Data Synthesizer under Privacy Deregulation Yucong Liu ChiHua Wang Guang Cheng 119 8 0 28 Nov 2022
MCCE: Monte Carlo sampling of realistic counterfactual explanations Annabelle Redelmeier Martin Jullum K. Aas Anders Løland BDL 59 11 0 18 Nov 2021

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