A Survey of Deep Learning Architectures for Privacy-Preserving Machine Learning With Fully Homomorphic Encryption.
Robert PodschwadtDaniel TakabiPeizhao HuMohammad H. RafieiZhipeng CaiPublished in: IEEE Access (2022)
Keyphrases
- deep learning
- privacy preserving
- homomorphic encryption
- machine learning
- unsupervised learning
- privacy preserving data mining
- privacy preservation
- data sharing
- vertically partitioned data
- multi party
- private information
- sensitive information
- data privacy
- supervised learning
- privacy protection
- scalar product
- differential privacy
- sensitive data
- privacy concerns
- active learning