GLASS Project

The projects for Tandon Honors students in the Global Leaders & Scholars in STEM program consists of a culmination of various experiences, research, and interests related to the Tandon Areas of Research Excellence. Scholars are also required to address the NAE Grand Challenges and think about the United Nations Sustainability Development Goals when doing so. At the end of the 3 years in the GLASS Program, students have a better understanding of the impact they can have on changing the world for the better. GLASS students enter the world as globally competent and socially responsible innovators and engineers!

I am interested in the fields of machine learning and cybersecurity. I am interested in machine learning because it can make programs much more flexible and greatly influence our lives, especially with emergence large language models. My interest in cybersecurity stems from its importance as the internet becomes integrated into almost everything and cyberattacks are getting increasingly prevalent. 

I am participating in the research on adversarial machine learning, which studies the security flaws of machine learning models that can be manipulated by attackers to give malicious output. Current adversarial machine learning research involves poisoning of training data, extracting the machine learning model, and crafting malicious input that can cause the machine learning model to make the wrong decision. My research focuses on the last field, creating a patch that looks naturalistic in human eyes but can cause an object detector to ignore the wearer. This helps to identify the potential vulnerabilities in machine learning models and can be used to create more robust models.