Covariance's Loss is Privacy's Gain: Computationally Efficient, Private and Accurate Synthetic Data.
March BoedihardjoThomas StrohmerRoman VershyninPublished in: CoRR (2021)
Keyphrases
- synthetic data
- computationally efficient
- privacy preserving
- private data
- data sets
- real image data
- private information
- real world
- mri data
- privacy policies
- privacy protection
- high accuracy
- personal information
- security issues
- privacy guarantees
- differential privacy
- synthetic datasets
- multivariate gaussian distribution
- medical images
- homomorphic encryption
- high quality
- location privacy
- privacy aware
- pairwise
- privacy preservation
- privacy preserving data mining
- real life
- sensitive information
- highly accurate
- principal component analysis