Enhancing the Privacy of Machine Learning via faster arithmetic over Torus FHE.
Marc Titus TrifanAlexandru NicolauAlexander V. VeidenbaumPublished in: CSCloud/EdgeCom (2023)
Keyphrases
- machine learning
- personal information
- privacy preserving
- knowledge acquisition
- privacy aware
- computer vision
- statistical databases
- learning problems
- inductive learning
- artificial intelligence
- machine learning methods
- decision trees
- pattern recognition
- privacy concerns
- information extraction
- machine learning algorithms
- private information
- machine learning approaches
- learning systems
- privacy preserving data mining
- learning algorithm
- security issues
- data sets
- personal data
- differential privacy
- privacy requirements
- learning tasks
- computational intelligence
- data mining
- feature selection
- knowledge representation
- active learning
- privacy enhancing
- database
- private data
- privacy issues
- memory efficient
- privacy preservation
- natural language
- knowledge discovery
- floating point
- supervised learning
- natural language processing
- text mining
- highly efficient
- model selection