Preserving Privacy of Continuous High-dimensional Data with Minimax Filters.
Jihun HammPublished in: AISTATS (2015)
Keyphrases
- high dimensional data
- preserving privacy
- low dimensional
- dimensionality reduction
- privacy preserving
- nearest neighbor
- high dimensional
- high dimensionality
- data sets
- private information
- personal information
- similarity search
- data privacy
- subspace clustering
- dimension reduction
- original data
- data mining applications
- data analysis
- linear discriminant analysis
- high dimensional datasets
- data distribution
- high dimensional spaces
- data points
- privacy issues
- sparse representation
- clustering high dimensional data
- pattern recognition
- support vector
- machine learning
- data mining
- real world
- neural network