Nikhil Joshi is a Security Researcher at Payatu Software Labs. He is very passionate about Machine Learning and Infosec and applied mathematics enthusiast. With a Computer science background, Nikhil is working on applying Machine Learning to solve problems in defensive as well as offensive security. He has also published his research under reputed publishers like IEEE. He is currently doing his research on security implications in Machine Learning such as Adversarial Learning, Model stealing attacks, Data poisoning, etc. He is an active member of local ML and Security chapters and has delivered multiple talks and workshops.