Nathan M. VanHoudnos

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 7

Top Topics

Defect Prediction

Classification Models

Adaboost Classifier

Top Venues

Publications

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
Assessing LLMs for High Stakes Applications. ICSE-SEIP (2024)
Violet Turri, Rachel Dzombak, Eric Heim, Nathan M. VanHoudnos, Jay Palat, Anusha Sinha
Measuring AI Systems Beyond Accuracy. CoRR (2022)
Jonathan Helland, Nathan M. VanHoudnos
On the human-recognizability phenomenon of adversarially trained deep image classifiers. CoRR (2021)
Jonathan M. Spring, April Galyardt, Allen D. Householder, Nathan M. VanHoudnos
On managing vulnerabilities in AI/ML systems. CoRR (2021)
Jonathan M. Spring, April Galyardt, Allen D. Householder, Nathan M. VanHoudnos
On managing vulnerabilities in AI/ML systems. NSPW (2020)
Lori Flynn, William Snavely, David Svoboda, Nathan M. VanHoudnos, Richard Qin, Jennifer Burns, David Zubrow, Robert Stoddard, Guillermo Marce-Santurio
Prioritizing alerts from multiple static analysis tools, using classification models. SQUADE@ICSE (2018)
Carson D. Sestili, William S. Snavely, Nathan M. VanHoudnos
Towards security defect prediction with AI. CoRR (2018)