SoK: Taming the Triangle - On the Interplays between Fairness, Interpretability and Privacy in Machine Learning.
Julien FerryUlrich AïvodjiSébastien GambsMarie-José HuguetMohamed SialaPublished in: CoRR (2023)
Keyphrases
- machine learning
- privacy preserving
- feature selection
- machine learning algorithms
- natural language processing
- personal information
- machine learning methods
- pattern recognition
- information extraction
- privacy protection
- data mining
- privacy preserving data mining
- knowledge acquisition
- data analysis
- prediction accuracy
- learning algorithm
- database
- machine learning approaches
- personal data
- artificial intelligence
- privacy preservation
- game theory
- computer vision
- text classification
- computational intelligence
- data publishing
- active learning
- security concerns
- differential privacy
- private data
- privacy aware
- security risks
- location privacy
- security issues
- private information
- inductive logic programming
- decision trees
- natural language
- multi agent systems
- computer science
- support vector machine
- knowledge discovery
- knowledge representation