These days new intrusions are being evolved in a rapid manner. This research group uses various machine learning, deep learning, and federated learning techniques to detect these intrusions as early as possible.

This research group understands the privacy of data that may arise when employing traditional machine learning techniques in different fields such as Healthcare and Transportation systems. To tackle the problem, this research group explores the possibilities where federated machine learning can be used.

This research group focuses on Data poisoning attacks, Inference attacks, Differential Privacy, and other security issues that may arise in Federated ML.