Differentially private high-dimensional data publication via grouping and truncating techniques.
Ning WangYu GuJia XuFangfang LiGe YuPublished in: Frontiers Comput. Sci. (2019)
Keyphrases
- high dimensional data
- differentially private
- nearest neighbor
- differential privacy
- dimensionality reduction
- low dimensional
- data sets
- high dimensional
- data points
- data analysis
- high dimensionality
- dimension reduction
- similarity search
- original data
- subspace clustering
- manifold learning
- high dimensional datasets
- digital libraries
- high dimensional spaces
- linear discriminant analysis
- data distribution
- sparse representation
- privacy preserving
- input data
- multi dimensional
- knn
- variable weighting
- information sharing
- neural network
- machine learning
- face recognition
- principal component analysis
- databases
- database