About / Bio


I am a PhD student in the Computer Science Department at the University of California, Davis, being advised by Prof. Prasant Mohapatra. As an undergraduate student (2014-2018) I researched topics involving security policies (and routing protocols) for wireless networks and networked systems. As a graduate student my research mainly focuses on machine learning and clustering algorithms-- with a special emphasis on adversarial examples, fairness guarantees, and machine learning security and privacy. I am also the author of the Tensorflex framework (NeurIPS 2018 presented paper link). From time to time, I also write technical articles on my blog, so if interested do have a look here!


  • Our paper on adversarial attacks on clustering algorithms was accepted in the AAAI 2020 Main Technical Conference [arxiv]

  • The preprint of our new paper on fair algorithms for hierarchical agglomerative clustering is now online [arxiv]


Email: chhabra[at]ucdavis[dot]edu

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Github: Click here

Google Scholar: Click here