A generic framework for privacy preserving deep learning.
Théo RyffelAndrew TraskMorten DahlBobby WagnerJason MancusoDaniel RueckertJonathan Passerat-PalmbachPublished in: CoRR (2018)
Keyphrases
- deep learning
- privacy preserving
- unsupervised learning
- privacy preserving data mining
- privacy preservation
- data privacy
- multi party
- vertically partitioned data
- private information
- weakly supervised
- machine learning
- preserving privacy
- horizontally partitioned data
- privacy sensitive
- sensitive data
- partitioned data
- differential privacy
- private data
- mental models
- secure multiparty computation
- sensitive information
- privacy protection
- privacy requirements
- privacy issues
- privacy concerns
- privacy preserving association rule mining