Privacy-preserving machine learning for time series data: PhD forum abstract.
Franz PapstPublished in: SenSys (2020)
Keyphrases
- privacy preserving
- machine learning
- privacy preserving data mining
- privacy preservation
- vertically partitioned data
- data privacy
- scalar product
- privacy protection
- privacy concerns
- sensitive information
- multi party
- record linkage
- horizontally partitioned data
- data mining
- private information
- differential privacy
- privacy preserving association rule mining
- naive bayesian classification
- secure multiparty computation
- knowledge discovery
- high dimensional
- private data
- privacy sensitive
- data perturbation
- decision trees
- feature selection
- sensitive data
- digital libraries
- personal data
- privacy requirements
- partitioned data
- user privacy
- data publishing
- privacy issues