FHE-Compatible Batch Normalization for Privacy Preserving Deep Learning.
Alberto IbarrondoMelek ÖnenPublished in: DPM/CBT@ESORICS (2018)
Keyphrases
- privacy preserving
- deep learning
- privacy preserving data mining
- unsupervised learning
- vertically partitioned data
- privacy preservation
- machine learning
- horizontally partitioned data
- multi party
- private information
- privacy concerns
- weakly supervised
- sensitive information
- data privacy
- mental models
- sensitive data
- privacy protection
- privacy preserving association rule mining
- privacy issues
- private data
- privacy sensitive
- scalar product
- feature extraction
- partitioned data
- secure multiparty computation
- training data
- object recognition
- differential privacy