Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective.
Lukas WutschitzBoris KöpfAndrew PaverdSaravan RajmohanAhmed SalemShruti TopleSantiago Zanella BéguelinMenglin XiaVictor RühlePublished in: CoRR (2023)
Keyphrases
- machine learning
- information flow control
- viewpoint
- private information
- machine learning methods
- pattern recognition
- personal information
- information loss
- learning systems
- privacy enhancing
- decision trees
- privacy preserving
- data mining
- location privacy
- differential privacy
- explanation based learning
- machine learning approaches
- machine learning algorithms
- security issues
- learning algorithm
- artificial intelligence
- privacy issues
- information extraction
- text mining
- computational intelligence
- information flow
- text classification
- learning tasks
- statistical databases
- supervised learning
- privacy concerns
- privacy preserving data mining
- data privacy
- personal data
- privacy preservation
- active learning
- decision making
- big data