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