Anonymization as homeomorphic data space transformation for privacy-preserving deep learning.
Anastasiia GirkaVagan Y. TerziyanMariia GavriushenkoAndrii GontarenkoPublished in: ISM (2020)
Keyphrases
- privacy preserving
- data privacy
- data transformation
- private data
- data sets
- sensitive information
- sensitive data
- privacy preserving data mining
- horizontally partitioned data
- vertically partitioned data
- preserving privacy
- data publishing
- privacy sensitive
- deep learning
- privacy requirements
- personal data
- privacy issues
- privacy concerns
- record linkage
- data collection
- private information
- privacy preservation
- privacy guarantees
- data quality
- privacy preserving data publishing
- knowledge discovery
- data analysis
- data sharing
- distributed data
- feature selection
- association rules
- data mining techniques
- differential privacy
- privacy protection