Subspace restrictions and affine composition for covering perfect hash families. - Charles J. Colbourn; Erin Lanus (Art Discret. Appl. Math., 2018)

Asymptotic and constructive methods for covering perfect hash families and covering arrays. - Charles J. Colbourn; Erin Lanus; Kaushik Sarkar (Des. Codes Cryptogr., 2018)

Genetic algorithms for affine transformations to existential t-restrictions. - Ryan E. Dougherty; Erin Lanus; Charles J. Colbourn; Stephanie Forrest (GECCO (Companion), 2019)

Partitioned Search with Column Resampling for Locating Array Construction. - Erin Lanus; Charles J. Colbourn; Douglas C. Montgomery (ICST Workshops, 2019)

Interaction Testing, Fault Location, and Anonymous Attribute-Based Authorization. - Erin Lanus (2019)

Formal Methods Analysis of the Secure Remote Password Protocol. - Alan T. Sherman; Erin Lanus; Moses Liskov; Edward Zieglar; Richard Chang 001; Enis Golaszewski; Ryan Wnuk-Fink; Cyrus J. Bonyadi; Mario Yaksetig; Ian Blumenfeld (Logic, Language, and Security, 2020)

Algorithms for Constructing Anonymizing Arrays. - Erin Lanus; Charles J. Colbourn (IWOCA, 2020)

Developing Hierarchies for Image Classification Model Evaluation. - Sami Wood; Erin Lanus; Daniel D. Doyle; Jeremy Ogorzalek; Christopher T. Franck; Laura J. Freeman (AI4I, 2021)

ATTL: An Automated Targeted Transfer Learning with Deep Neural Networks. - Sayyed Farid Ahamed; Priyanka Aggarwal; Sachin Shetty; Erin Lanus; Laura J. Freeman (GLOBECOM, 2021)

Combinatorial Testing Metrics for Machine Learning. - Erin Lanus; Laura J. Freeman; D. Richard Kuhn; Raghu N. Kacker (ICST Workshops, 2021)

Test and Evaluation Framework for Multi-Agent Systems of Autonomous Intelligent Agents. - Erin Lanus; Ivan Hernandez; Adam Dachowicz; Laura J. Freeman; Melanie Grande; Andrew Lang; Jitesh H. Panchal; Anthony Patrick; Scott Welch (SoSE, 2021)

Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing. - Tyler Cody; Erin Lanus; Daniel D. Doyle; Laura J. Freeman (ICST Workshops, 2022)

Evaluating Automated Driving Planner Robustness against Adversarial Influence. - Andres Molina-Markham; Silvia G. Ionescu; Erin Lanus; Derek Ng; Sam Sommerer; Joseph J. Rushanan (CoRR, 2022)

A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning. - Padmaksha Roy; Jaganmohan Chandrasekaran; Erin Lanus; Laura J. Freeman; Jeremy Werner (CoRR, 2023)

Test & Evaluation Best Practices for Machine Learning-Enabled Systems. - Jaganmohan Chandrasekaran; Tyler Cody; Nicola McCarthy; Erin Lanus; Laura J. Freeman (CoRR, 2023)

Coverage for Identifying Critical Metadata in Machine Learning Operating Envelopes. - Erin Lanus; Brian Lee; Luis Pol; Daniel Sobien; Justin A. Kauffman; Laura J. Freeman (ICSTW, 2024)

Guaranteeing anonymity in attribute-based authorization. - Erin Lanus; Charles J. Colbourn; Gail-Joon Ahn (J. Inf. Secur. Appl., 2024)

Assured Autonomy Through Combinatorial Methods. - D. Richard Kuhn; M. S. Raunak 001; Raghu N. Kacker; Jaganmohan Chandrasekaran; Erin Lanus; Tyler Cody; Laura J. Freeman (Computer, 2024)

Evaluating Large Language Model Robustness using Combinatorial Testing. - Jaganmohan Chandrasekaran; Ankita Ramjibhai Patel; Erin Lanus; Laura J. Freeman (ICSTW, 2025)

Data Frequency Coverage Impact on AI Performance. - Erin Lanus; Brian Lee; Jaganmohan Chandrasekaran; Laura J. Freeman; M. S. Raunak 001; Raghu N. Kacker; D. Richard Kuhn (ICSTW, 2025)

Hierarchical Scoring for Machine Learning Classifier Error Impact Evaluation. - Erin Lanus; Daniel Wolodkin; Laura J. Freeman (CoRR, 2025)