Neil G. Marchant

According to our database, Neil G. Marchant authored at least 15 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Watermarks Attack Watermarks: Re-Watermarking as a Generic Removal Strategy.

Maria Bulychev, Neil G. Marchant, Benjamin I. P. Rubinstein

CoRR, May, 2026

Where is the Watermark? Interpretable Watermark Detection at the Block Level.

Maria Bulychev, Neil G. Marchant, Benjamin I. P. Rubinstein

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

On the Bayes Inconsistency of Disagreement Discrepancy Surrogates.

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

CoRR, December, 2025

AdaptDel: Adaptable Deletion Rate Randomized Smoothing for Certified Robustness.

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

CoRR, November, 2025

Adaptive Data Analysis for Growing Data.

Neil G. Marchant, Benjamin I. P. Rubinstein

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

CERT-ED: Certifiably Robust Text Classification for Edit Distance.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Certified Robustness of Learning-based Static Malware Detectors.

Zhuoqun Huang, Neil G. Marchant, Keane Lucas, Lujo Bauer, Olga Ohrimenko, Benjamin I. P. Rubinstein

CoRR, 2023

Bayesian Graphical Entity Resolution Using Exchangeable Random Partition Priors.

Neil G. Marchant, Benjamin I. P. Rubinstein, Rebecca C. Steorts

CoRR, 2023

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

Zhuoqun Huang, Neil G. Marchant, Keane Lucas, Lujo Bauer, Olga Ohrimenko, Benjamin I. P. Rubinstein

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Hard to Forget: Poisoning Attacks on Certified Machine Unlearning.

Neil G. Marchant, Benjamin I. P. Rubinstein, Scott Alfeld

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

d-blink: Distributed End-to-End Bayesian Entity Resolution.

Neil G. Marchant, Andee Kaplan, Daniel N. Elazar, Benjamin I. P. Rubinstein, Rebecca C. Steorts

J. Comput. Graph. Stat., 2021

Needle in a Haystack: Label-Efficient Evaluation under Extreme Class Imbalance.

Neil G. Marchant, Benjamin I. P. Rubinstein

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Statistical Approaches for Entity Resolution under Uncertainty.

Neil G. Marchant

PhD thesis, 2020

A general framework for label-efficient online evaluation with asymptotic guarantees.

Neil G. Marchant, Benjamin I. P. Rubinstein

CoRR, 2020

2017

In Search of an Entity Resolution OASIS: Optimal Asymptotic Sequential Importance Sampling.

Neil G. Marchant, Benjamin I. P. Rubinstein

Proc. VLDB Endow., 2017