Fairness as a Service (FaaS): verifiable and privacy-preserving fairness auditing of machine learning systems.
Ehsan ToreiniMaryam MehrnezhadAad van MoorselPublished in: Int. J. Inf. Sec. (2024)
Keyphrases
- privacy preserving
- machine learning systems
- multi party
- vertically partitioned data
- privacy preservation
- privacy preserving data mining
- fair exchange
- machine learning
- data privacy
- private information
- privacy concerns
- privacy preserving association rule mining
- partitioned data
- privacy protection
- machine learning algorithms
- private data
- preserving privacy
- record linkage
- privacy sensitive
- scalar product
- data perturbation
- service providers
- privacy requirements
- data sets
- access control
- differential privacy
- sensitive information
- sensitive data
- supervised learning algorithms
- data mining
- learning systems
- secure multiparty computation
- real world