I am a PhD student in the Computer Science department at the University of Maryland, working with Prof. Tom Goldstein and Prof. Soheil Feizi. My research is about making machine learning models certifiably robust against adversarial attacks. It involves devising methods that can generate provable guarantees for the predictions of a deep neural network in the presence of malicious corruptions of the input data that are unnoticeable to humans.
I have also worked on Approximation Algorithms and Approximation Hardness for Combinatorial Optimization problems. Before joining UMD, I completed my undergraduate studies at IIT Mandi and my master's at IIT Delhi.
Tight Second-Order Certificates for Randomized Smoothing
Alexander Levine, Aounon Kumar, Thomas Goldstein, Soheil Feizi
Preprint 2020, arXiv.
Capacitated k-Center Problem with Vertex Weights