Hello There! My name is Chirag Vashist. I am a Ph.D. student at Simon Fraser University, Burnaby. I am affiliated with APEX Lab and my advisor is Dr. Ke Li.
Before this, I worked as a Software Engineer at Microsoft in the domain of Digital Security and Risk. I received my B.Tech. Honors degree in Computer Science from Indian Institute of Technology, Mandi.
In spare time, I like to have fun with my Nikon D5600.
Ph.D. in Computing Science, 2022-Present
Simon Fraser University, Burnaby
B.Tech (Honors) in Computer Science and Technology, 2016-20
Indian Institute of Technology, Mandi
Worked on the Azure Tenant Security Solution (AzTS), that can be used to obtain visibility to cloud subscriptions and resource configuration across multiple subscriptions in an enterprise environment.
Developed Mind The Word, a browser extension that helps users to learn the vocabulary of new languages through language immersion.
We address the security and privacy concerns of biometric templates generated via deep networks. We propose a cancelable biometric authentication approach. The framework consists of a lightweight Convolutional Neural Network (CNN) with few-shot enrollment for generating biometric templates. This is the first work in which deep cancelable templates are generated incrementally to the best of our knowledge.
In this paper, we propose an iris indexing scheme using real-valued deep iris features binarized to iris bar codes (IBC) compatible with the indexing structure. For indexing the iris dataset, we have proposed a loss that can transform the binary feature into an improved feature compatible with the Multi-Index Hashing scheme.