Neil G. Marchant

18 papers A* 3Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
AdaptDel: Adaptable Deletion Rate Randomized Smoothing for Certified Robustness.
CoRR
Zhuoqun Huang, Neil G. Marchant, Olga Ohrimenko, Benjamin I. P. Rubinstein
2025 J jnl
On the Bayes Inconsistency of Disagreement Discrepancy Surrogates.
CoRR
Neil G. Marchant, Andrew C. Cullen, Feng Liu, Sarah M. Erfani
2025 J jnl
Where is the Watermark? Interpretable Watermark Detection at the Block Level.
CoRR
Maria Bulychev, Neil G. Marchant, Benjamin I. P. Rubinstein
2024 J jnl
Adaptive Data Analysis for Growing Data.
CoRR
Neil G. Marchant, Benjamin I. P. Rubinstein
2024 — conf
CERT-ED: Certifiably Robust Text Classification for Edit Distance.
EMNLP (Findings)
Zhuoqun Huang, Neil G. Marchant, Olga Ohrimenko, Benjamin I. P. Rubinstein
2024 J jnl
CERT-ED: Certifiably Robust Text Classification for Edit Distance.
CoRR
Zhuoqun Huang, Neil G. Marchant, Olga Ohrimenko, Benjamin I. P. Rubinstein
2023 J jnl
Bayesian Graphical Entity Resolution Using Exchangeable Random Partition Priors.
CoRR
Neil G. Marchant, Benjamin I. P. Rubinstein, Rebecca C. Steorts
2023 J jnl
Certified Robustness of Learning-based Static Malware Detectors.
CoRR
Zhuoqun Huang, Neil G. Marchant, Keane Lucas, Lujo Bauer, Olga Ohrimenko, Benjamin I. P. Rubinstein
2023 A* conf
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion.
NeurIPS
Zhuoqun Huang, Neil G. Marchant, Keane Lucas, Lujo Bauer, Olga Ohrimenko, Benjamin I. P. Rubinstein
2022 A* conf
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning.
AAAI
Neil G. Marchant, Benjamin I. P. Rubinstein, Scott Alfeld
2021 J jnl
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning.
CoRR
Neil G. Marchant, Benjamin I. P. Rubinstein, Scott Alfeld
2021 A* conf
Needle in a Haystack: Label-Efficient Evaluation under Extreme Class Imbalance.
KDD
Neil G. Marchant, Benjamin I. P. Rubinstein
2021 J jnl
d-blink: Distributed End-to-End Bayesian Entity Resolution.
J. Comput. Graph. Stat.
Neil G. Marchant, Andee Kaplan, Daniel N. Elazar, Benjamin I. P. Rubinstein, Rebecca C. Steorts
2020 J jnl
A general framework for label-efficient online evaluation with asymptotic guarantees.
CoRR
Neil G. Marchant, Benjamin I. P. Rubinstein
2020 — —
Statistical Approaches for Entity Resolution under Uncertainty.
Neil G. Marchant
2019 J jnl
d-blink: Distributed End-to-End Bayesian Entity Resolution.
CoRR
Neil G. Marchant, Rebecca C. Steorts, Andee Kaplan, Benjamin I. P. Rubinstein, Daniel N. Elazar
2017 J jnl
In Search of an Entity Resolution OASIS: Optimal Asymptotic Sequential Importance Sampling.
CoRR
Neil G. Marchant, Benjamin I. P. Rubinstein
2017 J jnl
In Search of an Entity Resolution OASIS: Optimal Asymptotic Sequential Importance Sampling.
Proc. VLDB Endow.
Neil G. Marchant, Benjamin I. P. Rubinstein