Research Summary
My general research interest straddles the intersection between computer vision and machine learning. Recently, my specific focus has been on developing novel representation learning methods to address vulnerabilities of machine learning models to different types of threats, and also on understanding the representations learned by machine learning models to achieve desired properties, such as domain invariance, better transferability, and disentanglement.