Deriving an Optimal Noise Adding Mechanism for Privacy-Preserving Machine Learning.
Mohit KumarMichael RossboryBernhard Alois MoserBernhard FreudenthalerPublished in: DEXA Workshops (2019)
Keyphrases
- privacy preserving
- machine learning
- privacy preservation
- privacy preserving data mining
- vertically partitioned data
- multi party
- private information
- data privacy
- record linkage
- privacy guarantees
- sensitive data
- data transformation
- private data
- privacy protection
- privacy sensitive
- differential privacy
- preserving privacy
- horizontally partitioned data
- privacy concerns
- knowledge discovery
- data analysis
- privacy preserving classification
- horizontally partitioned
- sensitive information
- naive bayesian classification
- feature selection
- personal data
- data collection
- medical images
- data publishing
- privacy requirements
- data model
- search engine