CV LinkedIn DBLP Google Scholar

Aounon Kumar

I am a Ph.D. student in the Computer Science department at the University of Maryland, College Park. I am interested in Machine Learning and Algorithms. My current research is about making deep neural networks robust against adversarial attacks. I have also worked on Approximation Algorithms and Hardness Results for Combinatorial Optimization problems. Before joining UMD, I completed my undergraduate studies at IIT Mandi and my master's at IIT Delhi.


Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness with Alexander Levine, Tom Goldstein, Soheil Feizi. Work under review, manuscript availble on arXiv.

On the cost of essentially fair clusterings with Ioana O. Bercea, Martin Groß, Samir Khuller, Clemens Rösner, Daniel R. Schmidt and Melanie Schmidt. APPROX 2019, arXiv.

Capacitated k-Center Problem with Vertex Weights. FSTTCS 2016.