DataSynthesizer: Privacy-Preserving Synthetic Datasets

By Haoyue Ping, Julia Stoyanovich, Bill Howe. 2017

178 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Kalyan Veeramachaneni
2. Lei Xu
3. Bill Howe
4. Bernease Herman
5. Julia Stoyanovich
6. Marco F. Huber
7. Marc-André Zöller

In Management Science and Operations Research

1. Lei Xu
2. Kalyan Veeramachaneni

Citations in the corpus

• Synthesizing Tabular Data using Generative Adversarial Networks (2018, methodology): “e compare our TGAN synthesizer with three published methods for generating synthetic data. 5 GC [34] uses a Gaussian Copula to hierarchically generate multiple synthetic tables in a database. BN-Id [35] treats each column independently and learns a Bayesian Network for each column. BN-Co [35] uses a”
• Synthetic Data for Social Good (2017, background): “For example, the age attribute has intervals {[10, 20),[20, 30),[30, 40)} in its unconditioned distribution.”