Jingwen Qian of Google, Sujoy Sikdar of Binghamton University, Ge Wang, FNAI of Rensselaer Polytechnic Institute, and Lirong Xia of Rutgers University–New Brunswick have developed a new approach to address the problem of minimizing collusion gain — the increase in students’ test scores when they cheat by colluding with each other — in distanced online testing (DOT). The need for remote education has triggered a recent rise in the adoption of DOT due to social distancing requirements in the face of the COVID-19 global pandemic, technological advancements enabling widespread adoption, and the rise in demand for high-quality education necessitating better methods to address and prevent cheating.