EPIDL: Towards efficient and privacy-preserving inference in deep learning.
Chenfei NieZhipeng ZhouMianxiong DongKaoru OtaQiang LiPublished in: Concurr. Comput. Pract. Exp. (2024)
Keyphrases
- privacy preserving
- deep learning
- privacy preserving data mining
- vertically partitioned data
- privacy preservation
- unsupervised learning
- data privacy
- horizontally partitioned data
- scalar product
- private data
- information retrieval
- preserving privacy
- multi party
- privacy concerns
- privacy protection
- private information
- sensitive information
- privacy issues
- partitioned data
- privacy preserving association rule mining
- privacy requirements
- weakly supervised
- learning strategies
- training data
- secure multiparty computation
- sensitive data