Publications

Please see my Google Scholar profile for bibliometrics.

2026

  1. Where is the Watermark? Interpretable Watermark Detection at the Block Level
    Maria Bulychev, Neil G. Marchant, and Benjamin I. P. Rubinstein
    In Proceedings of the Winter Conference on Applications of Computer Vision, 2026
    accepted

2025

  1. On the Bayes Inconsistency of Disagreement Discrepancy Surrogates
    Neil G. Marchant, Andrew C. Cullen, Feng Liu, and Sarah M. Erfani
    2025
    preprint
  2. Adaptive Data Analysis for Growing Data
    Neil G. Marchant and Benjamin I. P. Rubinstein
    In Advances in Neural Information Processing Systems, 2025
  3. AdaptDel: Adaptable Deletion Rate Randomized Smoothing for Certified Robustness
    In Advances in Neural Information Processing Systems, 2025
  4. Data Privacy in Enterprise AI
    In Enterprise AI, 2025

2024

  1. CERT-ED: Certifiably Robust Text Classification for Edit Distance
    In Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

  1. RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion
    In Advances in Neural Information Processing Systems, 2023
  2. Bayesian Graphical Entity Resolution using Exchangeable Random Partition Priors
    Journal of Survey Statistics and Methodology, 2023

2022

  1. Hard to Forget: Poisoning Attacks on Certified Machine Unlearning
    Neil G. Marchant, Benjamin I. P. Rubinstein, and Scott Alfeld
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2022

2021

  1. KDD
    Needle in a Haystack: Label-Efficient Evaluation under Extreme Class Imbalance
    Neil G. Marchant and Benjamin I. P. Rubinstein
    In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021
  2. Statistical Approaches for Entity Resolution under Uncertainty
    Neil G. Marchant
    Faculty of Engineering and Information Technology, University of Melbourne, 2021
    Ph.D. thesis

2017

  1. In Search of an Entity Resolution OASIS: Optimal Asymptotic Sequential Importance Sampling
    Neil G. Marchant and Benjamin I. P. Rubinstein
    Proceedings of the VLDB Endowment, 2017
  2. Vortices and vortex lattices in quantum ferrofluids
    A. M. Martin, N. G. Marchant, D. H. J. O’Dell, and N. G. Parker
    Journal of Physics: Condensed Matter, 2017

2014

  1. Vortex Lattices in Quasi-Two-Dimensional Dipolar Bose-Einstein Condensates
    Neil G. Marchant
    Faculty of Science, University of Melbourne, 2014
    Master’s thesis