Privacy Teaching Series: What is Functional Encryption?

Providing encryption to data is good, but to allow working on the encrypted data can be much more beneficial. Here, we explain the concept of Functional Encryption and give a brief comparison with Homomorphic Encryption.
Functional Encryption a year ago

Federated Learning on Vessel Segmentation

It is a challenging task to acquire medical data for the deep learning models to train on. This blog gives a demo of how we can use Federated Learning to train our model on additional data without compromising the privacy of that data.
Medical Imaging a year ago

Encrypted Gaussian Naive Bayes from scratch

Naive Bayes methods are probabilistic models which are useful when dimensionality of the dataset is high. Gaussian Naive Bayes can be used when the dataset with continuous values. Here, we demonstrate encrypted gaussian naive bayes from scratch.
Tutorials a year ago