On Fully Homomorphic Encryption for Privacy-Preserving Deep Learning.
Néstor J. Hernández MarcanoMads MollerSøren HansenRune Hylsberg JacobsenPublished in: GLOBECOM Workshops (2019)
Keyphrases
- privacy preserving
- deep learning
- homomorphic encryption
- privacy preserving data mining
- privacy preservation
- unsupervised learning
- vertically partitioned data
- sensitive information
- privacy protection
- multi party
- machine learning
- data privacy
- private information
- mental models
- sensitive data
- scalar product
- public key
- data sharing
- privacy concerns
- differential privacy
- database
- data storage
- data sets