Nathan M. VanHoudnos

According to our database, Nathan M. VanHoudnos authored at least 6 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Assessing LLMs for High Stakes Applications.

Shannon K. Gallagher, Jasmine Ratchford, Tyler Brooks, Bryan P. Brown, Eric Heim, William R. Nichols, Scott Mcmillan, Swati Rallapalli, Carol J. Smith, Nathan M. VanHoudnos, Nick Winski, Andrew O. Mellinger

Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

2022

Measuring AI Systems Beyond Accuracy.

Violet Turri, Rachel Dzombak, Eric Heim, Nathan M. VanHoudnos, Jay Palat, Anusha Sinha

CoRR, 2022

2021

On the human-recognizability phenomenon of adversarially trained deep image classifiers.

Jonathan Helland, Nathan M. VanHoudnos

CoRR, 2021

2020

On managing vulnerabilities in AI/ML systems.

Jonathan M. Spring, April Galyardt, Allen D. Householder, Nathan M. VanHoudnos

Proceedings of the NSPW '20: New Security Paradigms Workshop 2020, 2020

2018

Towards security defect prediction with AI.

Carson D. Sestili, William S. Snavely, Nathan M. VanHoudnos

CoRR, 2018

Prioritizing alerts from multiple static analysis tools, using classification models.

Lori Flynn, William Snavely, David Svoboda, Nathan M. VanHoudnos, Richard Qin, Jennifer Burns, David Zubrow, Robert Stoddard, Guillermo Marce-Santurio

Proceedings of the 1st International Workshop on Software Qualities and Their Dependencies, 2018