Dr Neil Marchant
Research Fellow in Machine Learning
School of Computing and Information Systems
10 Scholarly works
1 Projects
HIGHLIGHTS
2025
Research contracts (non-grants)
Adversarial Reinforcement Learning: Attacks and Defences
2025
Book Chapter
Data Privacy in Enterprise AI
DOI: 10.1007/978-3-032-01940-0_52024
Conference Proceedings
CERT-ED: Certifiably Robust Text Classification for Edit Distance
DOI: 10.18653/v1/2024.findings-emnlp.6352023
Journal article
Bayesian Graphical Entity Resolution using Exchangeable Random Partition Priors
DOI: 10.1093/jssam/smac0302023
Conference Proceedings
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion
DOI: 10.52202/075280-08202021
Conference Proceedings
Needle in a Haystack: Label-Efficient Evaluation under Extreme Class Imbalance
DOI: 10.1145/3447548.34674352021
Journal article
d-blink: Distributed End-to-End Bayesian Entity Resolution
DOI: 10.1080/10618600.2020.1825451
RECENT SCHOLARLY WORKS
2022
Conference Proceedings
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning
DOI: 10.1609/aaai.v36i7.207362020
Thesis / Dissertation
Statistical Approaches for Entity Resolution under Uncertainty
2017
Journal article
In search of an entity resolution OASIS: Optimal asymptotic sequential importance sampling
DOI: 10.14778/3137628.31376422017
Journal article
Vortices and vortex lattices in quantum ferrofluids
DOI: 10.1088/1361-648X/aa53a6