Deconvoluting Kernel Density Estimation and Regression for Locally Differentially Private Data.
Farhad FarokhiPublished in: CoRR (2020)
Keyphrases
- kernel density estimation
- private data
- mean shift
- data sharing
- privacy preserving
- probability density function
- density function
- density estimation
- private information
- differential privacy
- object segmentation
- personal information
- probability density
- privacy protection
- higher dimensional
- data privacy
- third party
- data sets
- data access
- mixture model
- maximum likelihood
- object detection
- support vector