P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model.
Shun TakagiTsubasa TakahashiYang CaoMasatoshi YoshikawaPublished in: ICDE (2021)
Keyphrases
- high dimensional data
- generative model
- privacy preserving
- dimensionality reduction
- probabilistic model
- nearest neighbor
- high dimensional
- private data
- privacy preserving data mining
- private information
- low dimensional
- data analysis
- high dimensionality
- privacy preservation
- manifold learning
- data points
- vertically partitioned data
- original data
- similarity search
- dimension reduction
- data sets
- em algorithm
- privacy concerns
- sensitive information
- homomorphic encryption
- prior knowledge
- data privacy
- input data
- privacy protection
- topic models
- data distribution
- privacy guarantees
- sparse coding
- semi supervised
- differential privacy
- scalar product
- latent dirichlet allocation
- principal component analysis
- active learning
- computer vision
- high dimensional spaces
- lower dimensional
- sparse representation
- expectation maximization