A Conceptual Framework for Assessing Anonymization-Utility Trade-Offs Based on Principal Component Analysis.
Giuseppe D'AcquistoMaurizio NaldiPublished in: CoRR (2019)
Keyphrases
- conceptual framework
- principal component analysis
- trade off
- differential privacy
- independent component analysis
- data anonymization
- principal components
- privacy preserving
- anonymized data
- theoretical framework
- agent negotiation
- face recognition
- dimensionality reduction
- utility function
- linear discriminant analysis
- privacy preservation
- information loss
- privacy protection
- face images
- sharing platform
- conceptual model
- feature extraction
- data privacy
- feature space
- covariance matrix
- data publishing
- sensitive attributes