Differential Privacy with Variant-Noise for Gaussian Processes Classification.
Zhili XiongLongyuan LiJunchi YanHaiyang WangHao HeYaohui JinPublished in: PRICAI (3) (2019)
Keyphrases
- gaussian processes
- differential privacy
- gaussian process
- differentially private
- gaussian process regression
- supervised learning
- feature selection
- feature extraction
- feature vectors
- privacy preserving
- model selection
- machine learning
- text classification
- support vector
- signal to noise ratio
- graphical models
- probabilistic model
- decision trees
- data sets