FHE-Compatible Batch Normalization for Privacy Preserving Deep Learning.

Alberto Ibarrondo Melek Önen

Published 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