Private Identity Testing for High-Dimensional Distributions.
Clément L. CanonneGautam KamathAudra McMillanJonathan R. UllmanLydia ZakynthinouPublished in: CoRR (2019)
Keyphrases
- high dimensional
- probability distribution
- high dimensionality
- similarity search
- low dimensional
- case study
- sparse data
- high dimensional data
- dimensionality reduction
- high dimensional problems
- face recognition
- multi dimensional
- exponential distributions
- low dimensional manifolds
- face images
- privacy preserving
- parameter space
- software testing
- variable selection
- heavy tailed
- private data
- high dimension
- high dimensional spaces
- power law
- machine learning
- private information
- manifold learning
- microarray data
- test set
- data points
- kernel function
- graphical models