Erin Lanus

According to our database, Erin Lanus authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Assured Autonomy Through Combinatorial Methods.

D. Richard Kuhn, M. S. Raunak, Raghu N. Kacker, Jaganmohan Chandrasekaran, Erin Lanus, Tyler Cody, Laura J. Freeman

Computer, May, 2024

Guaranteeing anonymity in attribute-based authorization.

Erin Lanus, Charles J. Colbourn, Gail-Joon Ahn

J. Inf. Secur. Appl., 2024

Coverage for Identifying Critical Metadata in Machine Learning Operating Envelopes.

Erin Lanus, Brian Lee, Luis Pol, Daniel Sobien, Justin Kauffman, Laura J. Freeman

Proceedings of the IEEE International Conference on Software Testing, Verification and Validation, ICST 2024, 2024

2023

Test & Evaluation Best Practices for Machine Learning-Enabled Systems.

Jaganmohan Chandrasekaran, Tyler Cody, Nicola McCarthy, Erin Lanus, Laura J. Freeman

CoRR, 2023

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

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

Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing.

Tyler Cody, Erin Lanus, Daniel D. Doyle, Laura J. Freeman

Proceedings of the 15th IEEE International Conference on Software Testing, 2022

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

Proceedings of the 16th International Conference of System of Systems Engineering, 2021

Combinatorial Testing Metrics for Machine Learning.

Erin Lanus, Laura J. Freeman, D. Richard Kuhn, Raghu N. Kacker

Proceedings of the 14th IEEE International Conference on Software Testing, 2021

ATTL: An Automated Targeted Transfer Learning with Deep Neural Networks.

Sayyed Farid Ahamed, Priyanka Aggarwal, Sachin Shetty, Erin Lanus, Laura J. Freeman

Proceedings of the IEEE Global Communications Conference, 2021

Developing Hierarchies for Image Classification Model Evaluation.

Sami Wood, Erin Lanus, Daniel D. Doyle, Jeremy Ogorzalek, Christopher T. Franck, Laura J. Freeman

Proceedings of the 4th International Conference on Artificial Intelligence for Industries, 2021

2020

Algorithms for Constructing Anonymizing Arrays.

Erin Lanus, Charles J. Colbourn

Proceedings of the Combinatorial Algorithms - 31st International Workshop, 2020

Formal Methods Analysis of the Secure Remote Password Protocol.

Alan T. Sherman, Erin Lanus, Moses Liskov, Edward Zieglar, Richard Chang, Enis Golaszewski, Ryan Wnuk-Fink, Cyrus J. Bonyadi, Mario Yaksetig, Ian Blumenfeld

Proceedings of the Logic, 2020

2019

Interaction Testing, Fault Location, and Anonymous Attribute-Based Authorization.

Erin Lanus

PhD thesis, 2019

Partitioned Search with Column Resampling for Locating Array Construction.

Erin Lanus, Charles J. Colbourn, Douglas C. Montgomery

Proceedings of the 2019 IEEE International Conference on Software Testing, 2019

Genetic algorithms for affine transformations to existential <i>t</i>-restrictions.

Ryan E. Dougherty, Erin Lanus, Charles J. Colbourn, Stephanie Forrest

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

Asymptotic and constructive methods for covering perfect hash families and covering arrays.

Charles J. Colbourn, Erin Lanus, Kaushik Sarkar

Des. Codes Cryptogr., 2018

Subspace restrictions and affine composition for covering perfect hash families.

Charles J. Colbourn, Erin Lanus

Art Discret. Appl. Math., 2018