LN-PCA: Differential Privacy Protection of Medical Data Based on Principal Component Analysis Adding Laplace Noise.
Kefei LuZhongyuan QinLiquan ChenPublished in: ICCAI (2023)
Keyphrases
- principal component analysis
- medical data
- privacy protection
- principal components
- dimensionality reduction
- medical data mining
- medical images
- privacy preserving
- independent component analysis
- clinical data
- covariance matrix
- dimension reduction
- face recognition
- medical information
- low dimensional
- data collection
- data sharing
- information loss
- data mining
- data anonymization
- random projections
- linear discriminant analysis
- statistical disclosure
- anonymized data
- data publishing
- private information
- statistical databases
- feature extraction
- feature space
- face images
- personal data
- privacy policies
- database systems
- sensitive information
- data sets
- knowledge discovery
- third party