Neil G. Marchant

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.

Selected Publications

arXiv

On the Bayes Inconsistency of Disagreement Discrepancy Surrogates

Neil G. Marchant, Andrew C. Cullen, Feng Liu, and Sarah M. Erfani

2025

preprint

arXiv Bib

@misc{marchant2025bayes,
  title = {On the Bayes Inconsistency of Disagreement Discrepancy Surrogates},
  author = {Marchant, Neil G. and Cullen, Andrew C. and Liu, Feng and Erfani, Sarah M.},
  year = {2025},
  eprint = {2512.05931},
  archiveprefix = {arXiv},
  primaryclass = {cs.LG},
  url = {https://arxiv.org/abs/2512.05931},
  note = {preprint},
}

NeurIPS

Adaptive Data Analysis for Growing Data

Neil G. Marchant and Benjamin I. P. Rubinstein

In Advances in Neural Information Processing Systems, 2025

arXiv Bib Video Poster

@inproceedings{marchant2025adaptive,
  title = {Adaptive Data Analysis for Growing Data},
  author = {Marchant, Neil G. and Rubinstein, Benjamin I. P.},
  year = {2025},
  volume = {38},
  booktitle = {Advances in Neural Information Processing Systems},
  editor = {Zhang, C. and Belgrave, D. and Lin, H. T. and Ghassemi, M. and Chen, N. and Koniusz, P. and Pascanu, R.},
  publisher = {Curran Associates, Inc.},
}

NeurIPS

AdaptDel: Adaptable Deletion Rate Randomized Smoothing for Certified Robustness

Zhuoqun Huang, Neil G Marchant, Olga Ohrimenko, and Benjamin I. P. Rubinstein

In Advances in Neural Information Processing Systems, 2025

arXiv Bib Video Poster

@inproceedings{huang2025adapt,
  title = {{AdaptDel}: Adaptable Deletion Rate Randomized Smoothing for Certified Robustness},
  author = {Huang, Zhuoqun and Marchant, Neil G and Ohrimenko, Olga and Rubinstein, Benjamin I. P.},
  year = {2025},
  volume = {38},
  booktitle = {Advances in Neural Information Processing Systems},
  editor = {Zhang, C. and Belgrave, D. and Lin, H. T. and Ghassemi, M. and Chen, N. and Koniusz, P. and Pascanu, R.},
  publisher = {Curran Associates, Inc.},
}

NeurIPS

RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion

Zhuoqun Huang, Neil G Marchant, Keane Lucas, Lujo Bauer, Olga Ohrimenko, and Benjamin Rubinstein

In Advances in Neural Information Processing Systems, 2023

arXiv Bib PDF Video Code Poster

@inproceedings{huang2023rsdel,
  title = {{RS-Del}: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion},
  author = {Huang, Zhuoqun and Marchant, Neil G and Lucas, Keane and Bauer, Lujo and Ohrimenko, Olga and Rubinstein, Benjamin},
  year = {2023},
  volume = {36},
  booktitle = {Advances in Neural Information Processing Systems},
  editor = {Oh, A. and Naumann, T. and Globerson, A. and Saenko, K. and Hardt, M. and Levine, S.},
  pages = {18676--18711},
  publisher = {Curran Associates, Inc.},
}