Statements (16)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:software
|
| gptkbp:citation |
Jia, J., Pei, Y., Gursoy, M. E., Truex, S., & Wu, X. (2019). DataSynthesizer: Privacy-Preserving Synthetic Datasets. JMLR MLOSS.
|
| gptkbp:feature |
differential privacy
data anonymization categorical and numerical data support three modes: random, independent attribute, correlated attribute |
| https://www.w3.org/2000/01/rdf-schema#label |
DataSynthesizer
|
| gptkbp:license |
gptkb:MIT_License
|
| gptkbp:maintainedBy |
Data Responsibly project
|
| gptkbp:programmingLanguage |
gptkb:Python
|
| gptkbp:purpose |
synthetic data generation
|
| gptkbp:repository |
https://github.com/DataResponsibly/DataSynthesizer
|
| gptkbp:usedFor |
machine learning model testing
privacy-preserving data sharing |
| gptkbp:bfsParent |
gptkb:Kalyan_Veeramachaneni
|
| gptkbp:bfsLayer |
8
|