ppai-mental-health

Privacy-preserving AI for mental disease detection

We are trying to build an end-to-end encrypted deep learning pipeline for mental health disease detection using private patient data.

Technologies used so far:

1. PyTorch
2. PySyft - for federated learning
3. diffprivlib - for differential privacy
4. Quail - for synthetic data generation with noise