Neil G. Marchant

Postdoctoral Research Fellow · School of Computing and Information Systems · University of Melbourne


I am a postdoctoral researcher in the Artificial Intelligence group at the University of Melbourne. I completed my PhD at the University of Melbourne under the guidance of Ben Rubinstein and Rebecca Steorts (at Duke University).

My research interests span machine learning, security and databases. Recently I have been working on identifying vulnerabilities and improving the robustness of machine learning in adversarial settings. I also maintain an interest in data integration and statistical evaluation, which was the focus of my PhD.


Sep 21, 2023 Our paper on certified robustness for bounded edit distance perturbations was accepted at NeurIPS 2023.
Jul 29, 2022 As a finalist for the Savage Award 2022, I was invited to present research from my PhD thesis at ISBA 2022. A recording of the presentation is available here.
Feb 28, 2022 I presented our work on attacking machine unlearning at AAAI 2022. A pre-recorded video of the talk is available on YouTube.
Aug 17, 2021 I presented our work on label-efficient online evaluation at KDD 2021. A pre-recorded version of the talk is available at the ACM DL.
May 15, 2021 Our paper on label-efficient online evaluation has been accepted for presentation at KDD 2021.