AutoGAN-based dimension reduction for privacy preservation.
Hung NguyenDi ZhuangPei-Yuan WuJ. Morris ChangPublished in: Neurocomputing (2020)
Keyphrases
- dimension reduction
- privacy preservation
- privacy preserving
- privacy preserving data mining
- random projections
- principal component analysis
- data privacy
- feature extraction
- high dimensional
- low dimensional
- sensitive information
- data mining
- singular value decomposition
- high dimensional data
- dimensionality reduction
- feature selection
- cluster analysis
- feature space
- privacy protection
- data quality
- linear discriminant analysis
- private information
- unsupervised learning
- high dimensionality
- sensitive data
- data sets
- face recognition
- training data
- image processing
- preprocessing
- machine learning