On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning.
Wenxuan BaoLuke A. BauerVincent BindschaedlerPublished in: CoRR (2022)
Keyphrases
- differentially private
- machine learning
- feature selection
- differential privacy
- supervised learning
- feature space
- support vector machine
- dimensionality reduction
- model selection
- feature extraction
- support vector
- statistical learning
- contingency tables
- data mining
- social networks
- data analysis
- active learning
- knowledge discovery