PV-PATE: An Improved PATE for Deep Learning with Differential Privacy in Trusted Industrial Data Matrix.
Hongyu HuQilong HanZhiqiang MaYukun YanZuobin XiongLinyu JiangYuemin ZhangPublished in: APWeb/WAIM (3) (2023)
Keyphrases
- deep learning
- data matrix
- differential privacy
- differentially private
- matrix factorization
- missing values
- singular value decomposition
- original data
- privacy preserving
- low rank
- gene expression data
- unsupervised learning
- nonnegative matrix factorization
- data privacy
- barcode
- machine learning
- missing data
- mental models
- privacy preservation
- collaborative filtering
- data sharing
- image processing
- information retrieval
- data mining
- data sets
- input data
- learning algorithm