Private Machine Learning
@ mortendahi Encrypted data set (masked images) => transform encrypted data (transform masked values/ arithmetic operations) => encrypted model (masked weights)
data keys(masks) => transform keys => model keys
=> model prediction
OpenMined project
Q: Private ML makes it harder for ML interpretability ? A: Train on public data to understand, then transfered learning on private data.