Blind Faith: Privacy-Preserving Machine Learning using Function Approximation.
Tanveer KhanAlexandros BakasAntonis MichalasPublished in: CoRR (2021)
Keyphrases
- privacy preserving
- function approximation
- machine learning
- learning tasks
- reinforcement learning
- privacy preserving data mining
- vertically partitioned data
- privacy preservation
- temporal difference learning algorithms
- temporal difference
- multi party
- privacy protection
- machine learning algorithms
- privacy concerns
- privacy sensitive
- data privacy
- sensitive information
- radial basis function
- privacy preserving association rule mining
- private information
- learning problems
- function approximators
- learning algorithm
- decision trees
- secure multiparty computation
- data perturbation
- privacy requirements
- private data
- privacy issues
- differential privacy
- data analysis
- scalar product
- horizontally partitioned data
- partitioned data
- supervised learning
- data mining
- text classification
- preserving privacy
- transfer learning
- neural network
- feature selection
- active learning
- knowledge discovery
- support vector machine
- text mining
- data sets
- graph cuts
- semi supervised learning