| Asymptotic and constructive methods for covering perfect hash families and covering arrays CJ Colbourn, E Lanus, K Sarkar Designs, Codes and Cryptography 86, 907-937, 2018 | 34 | 2018 |
| Combinatorial testing metrics for machine learning E Lanus, LJ Freeman, DR Kuhn, RN Kacker 2021 IEEE International Conference on Software Testing, Verification and …, 2021 | 32 | 2021 |
| Systematic training and testing for machine learning using combinatorial interaction testing T Cody, E Lanus, DD Doyle, L Freeman 2022 IEEE International Conference on Software Testing, Verification and …, 2022 | 20 | 2022 |
| Analysis of the Secure Remote Password protocol using CPSA E Lanus, AT Sherman, R Chang, E Golaszewski, R Wnuk-Fink, C Bonyadi, ... High Confidence Software and Systems Conference (HCSS), 2020 | 14* | 2020 |
| Test and evaluation framework for multi-agent systems of autonomous intelligent agents E Lanus, I Hernandez, A Dachowicz, LJ Freeman, M Grande, A Lang, ... 2021 16th International Conference of System of Systems Engineering (SoSE …, 2021 | 13 | 2021 |
| Subspace restrictions and affine composition for covering perfect hash families CJ Colbourn, E Lanus The Art of Discrete and Applied Mathematics 1 (2), # P2. 03-# P2. 03, 2018 | 11 | 2018 |
| Partitioned search with column resampling for locating array construction E Lanus, CJ Colbourn, DC Montgomery 2019 IEEE International Conference on Software Testing, Verification and …, 2019 | 10 | 2019 |
| ATTL: An Automated Targeted Transfer Learning with Deep Neural Networks SF Ahamed, P Aggarwal, S Shetty, E Lanus, LJ Freeman 2021 IEEE Global Communications Conference (GLOBECOM), 1-7, 2021 | 6 | 2021 |
| Test & Evaluation Best Practices for Machine Learning-Enabled Systems J Chandrasekaran, T Cody, N McCarthy, E Lanus, L and Freeman arXiv preprint arXiv:2310.06800, 2023 | 3 | 2023 |
| Best practices for addressing new challenges in testing and evaluating artificial intelligence-enabled systems LJ Freeman, J Kauffman, D Sobien, T Cody, E Lanus ITEA Journal of Test and Evaluation 43 (3), 174-180, 2022 | 3 | 2022 |
| Genetic algorithms for affine transformations to existential t-restrictions RE Dougherty, E Lanus, CJ Colbourn, S Forrest Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 3 | 2019 |
| Analysis of a forced-latency defense against man-in-the-middle attacks EF Lanus, EV Zieglar Journal of Information Warfare 16 (2), 66-78, 2017 | 3 | 2017 |
| Interaction testing, fault location, and anonymous attribute-based authorization E Lanus Arizona State University, 2019 | 2 | 2019 |
| A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning P Roy, J Chadrasekaran, E Lanus, L Freeman, J Werner arXiv preprint arXiv:2310.04513, 2023 | 1 | 2023 |
| Algorithms for Constructing Anonymizing Arrays E Lanus, CJ Colbourn International Workshop on Combinatorial Algorithms, 382-394, 2020 | 1 | 2020 |
| Leveraging Combinatorial Coverage in the Machine Learning Product Lifecycle J Chandrasekaran, E Lanus, T Cody, LJ Freeman, RN Kacker, ... Computer 57 (7), 16-26, 2024 | | 2024 |
| Assured Autonomy Through Combinatorial Methods DR Kuhn, MS Raunak, RN Kacker, J Chandrasekaran, E Lanus, T Cody, ... Computer 57 (5), 86-90, 2024 | | 2024 |
| Why Cyber Threat Modeling Needs Human Factors Expansion: A Position Paper S Travis, D Gračanin, E Lanus 2023 3rd Intelligent Cybersecurity Conference (ICSC), 110-118, 2023 | | 2023 |
| Guaranteeing Anonymity in Attribute-Based Authorization E Lanus, CJ Colbourn, GJ Ahn arXiv preprint arXiv:2310.04896, 2023 | | 2023 |
| Training Generative Adversarial Networks on Small Datasets by way of Transfer Learning B Lee, L Eisenbeiser, E Lanus ITEA Journal of Test and Evaluation 44 (2), 2023 | | 2023 |
Laura FreemanVirginia Tech在 vt.edu 的电子邮件经过验证
