Discriminant-component eigenfaces for privacy-preserving face recognition.
Thee ChanyaswadJ. Morris ChangPrateek MittalSun-Yuan KungPublished in: MLSP (2016)
Keyphrases
- privacy preserving
- face recognition
- discriminant analysis
- principal component analysis
- feature extraction
- facial images
- privacy preserving data mining
- face databases
- fisher linear discriminant
- privacy preservation
- vertically partitioned data
- face space
- face images
- linear discriminant analysis
- privacy protection
- privacy concerns
- data privacy
- private information
- multi party
- fisher criterion
- sensitive information
- privacy sensitive
- facial expressions
- preserving privacy
- horizontally partitioned
- data perturbation
- horizontally partitioned data
- face recognition algorithms
- private data
- privacy issues
- sensitive data
- naive bayesian classification
- privacy preserving association rule mining
- privacy guarantees
- record linkage
- sparse representation
- dimensionality reduction
- data sets