New Primitives for Actively-Secure MPC over Rings with Applications to Private Machine Learning.
Ivan DamgårdDaniel EscuderoTore Kasper FrederiksenMarcel KellerPeter SchollNikolaj VolgushevPublished in: IEEE Symposium on Security and Privacy (2019)
Keyphrases
- machine learning
- active learning
- learning algorithm
- homomorphic encryption
- machine learning algorithms
- explanation based learning
- privacy preserving
- knowledge acquisition
- learning systems
- private data
- computer science
- data analysis
- dynamic model
- machine learning methods
- supervised learning
- computational intelligence
- text classification
- artificial intelligence
- data mining
- standard model
- inductive learning
- natural language processing
- information extraction
- support vector machine
- knowledge discovery
- computer vision
- reinforcement learning
- lightweight
- model selection
- information sharing
- ad hoc networks
- low level
- security issues
- security requirements
- key management
- user privacy
- decision trees