Verifiable Fairness: Privacy-preserving Computation of Fairness for Machine Learning Systems.
Ehsan ToreiniMaryam MehrnezhadAad van MoorselPublished in: ESORICS Workshops (2) (2023)
Keyphrases
- privacy preserving
- machine learning systems
- partitioned data
- privacy preservation
- privacy preserving data mining
- machine learning
- vertically partitioned data
- multi party
- private information
- private data
- data privacy
- privacy concerns
- privacy protection
- sensitive data
- scalar product
- sensitive information
- privacy sensitive
- fair exchange
- preserving privacy
- supervised learning algorithms
- learning classifier systems
- learning algorithm
- machine learning algorithms
- differential privacy
- secure multiparty computation
- data perturbation
- horizontally partitioned data
- private information retrieval
- homomorphic encryption
- evolutionary algorithm
- privacy requirements
- user privacy
- data mining techniques
- learning styles
- data mining
- learning systems
- smart card