Deep Learning

Poster presentation on the work related to counterfactuals for fairness.

This is a data-science project that aims to predict which Windows machines are more prone to malware attacks. I show the application of various different methods for the task and give a comparative analysis between them.

The project explores CNN classification models and their vulnerability to various adversarial attacks. Also explores a defence mechanism for it.

A mini-project that looks at the task of neural machine translation using sequential models and attention mechanism.

This project explores personalization of generating image captions. We explore different architecture choices of Attend2u and also analyze personalization of the captions.

This project explores a novel embedding technique for words into matrices instead of vectors. We explore this novel embedding method and how it could improve contextual sense.