An Efficient Convolution Core Architecture for Privacy-Preserving Deep Learning.
Yizhi WangJun LinZhongfeng WangPublished in: ISCAS (2018)
Keyphrases
- privacy preserving
- deep learning
- privacy preserving data mining
- privacy preservation
- data privacy
- machine learning
- vertically partitioned data
- sensitive information
- privacy concerns
- unsupervised learning
- data perturbation
- multi party
- sensitive data
- mental models
- privacy protection
- scalar product
- privacy sensitive
- weakly supervised
- private information
- differential privacy
- feature selection
- learning algorithm
- privacy preserving association rule mining
- data sets
- superpixels
- privacy issues
- private data
- privacy requirements
- high dimensional
- secure multiparty computation
- partitioned data
- information retrieval