‪Krystal A Maughan‬ - ‪Google Scholar‬

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Krystal A Maughan

Krystal A Maughan

University of Vermont

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PQC Graph+Number Theory Graph Quantum Algorithms


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Towards auditability for fairness in deep learning IC Ngong, K Maughan, JP Near arXiv preprint arXiv:2012.00106, 2020	3	2020
Towards a measure of individual fairness for deep learning K Maughan, JP Near arXiv preprint arXiv:2009.13650, 2020	3	2020
Improving Utility for Privacy-Preserving Analysis of Correlated Columns using Pufferfish Privacy K Maughan, JP Near arXiv preprint arXiv:2209.10908, 2022	2	2022
Machine learning for modular multiplication K Lauter, CY Li, K Maughan, R Newton, M Srivastava arXiv preprint arXiv:2402.19254, 2024		2024
Prediction Sensitivity: Continual Audit of Counterfactual Fairness in Deployed Classifiers K Maughan, IC Ngong, JP Near arXiv preprint arXiv:2202.04504, 2022		2022
ContinualAudit of Individual Fairness in Deployed Classifiers via Prediction Sensitivity K Maughan, I Ngong, J Near

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