Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data.
Mayana PereiraMeghana KshirsagarSumit MukherjeeRahul DodhiaJuan Lavista FerresRafael de SousaPublished in: CoRR (2023)
Keyphrases
- differential privacy
- end to end
- synthetic data
- tabular data
- differentially private
- machine learning
- privacy preserving
- real image data
- data sharing
- privacy preservation
- data mining
- data sets
- real world
- statistical methods
- personal information
- data privacy
- data analysis
- search logs
- model selection
- data model
- digital libraries