The Explainability-Privacy-Utility Trade-Off for Machine Learning-Based Tabular Data Analysis.
Wisam AbbasiPaolo MoriAndrea SaracinoPublished in: SECRYPT (2023)
Keyphrases
- machine learning
- data analysis
- trade off
- privacy requirements
- differential privacy
- data mining
- privacy preserving
- data collection
- text mining
- data anonymization
- knowledge discovery
- decision trees
- privacy preservation
- text classification
- supervised learning
- pattern recognition
- privacy protection
- privacy preserving data mining
- learning algorithm
- utility function
- security issues
- knowledge acquisition
- anonymized data
- support vector machine
- machine learning methods
- private information
- artificial intelligence
- private data
- information extraction
- computer vision
- machine learning algorithms
- model selection
- learning tasks
- natural language processing
- computational intelligence
- privacy enhancing
- active learning
- data warehouse
- data publishing
- data security
- reinforcement learning
- machine learning approaches
- computer science
- personal information
- big data