| Towards security defect prediction with AI CD Sestili, WS Snavely, NM VanHoudnos arXiv preprint arXiv:1808.09897, 2018 | 35 | 2018 |
| Markov chain Monte Carlo for item response models BW Junker, RJ Patz, NM VanHoudnos Handbook of item response theory 2, 271-312, 2016 | 27 | 2016 |
| Prioritizing alerts from multiple static analysis tools, using classification models L Flynn, W Snavely, D Svoboda, N VanHoudnos, R Qin, J Burns, ... Proceedings of the 1st international workshop on software qualities and …, 2018 | 22 | 2018 |
| The critical role of positive incentives for reducing insider threats AP Moore, SJ Perl, J Cowley, ML Collins, TM Cassidy, N VanHoudnos, ... CARNEGIE-MELLON UNIV PITTSBURGH PA PITTSBURGH United States, 2016 | 17 | 2016 |
| On managing vulnerabilities in AI/ML systems JM Spring, A Galyardt, AD Householder, N VanHoudnos New Security Paradigms Workshop 2020, 111-126, 2020 | 11 | 2020 |
| This malware looks familiar: Laymen identify malware run-time similarity with chernoff faces and stick figures N VanHoudnos, W Casey, D French, B Lindauer, E Kanal, E Wright, ... 10th EAI International Conference on Bio-inspired Information and …, 2017 | 11 | 2017 |
| Can the Internet grade math? Crowdsourcing a complex scoring task and picking the optimal crowd size N Van Houdnos | 4 | 2011 |
| On the human-recognizability phenomenon of adversarially trained deep image classifiers J Helland, N VanHoudnos arXiv preprint arXiv:2101.05219, 2020 | 3 | 2020 |
| On the Hedges Correction for a t-Test NM VanHoudnos, JB Greenhouse Journal of Educational and Behavioral Statistics 41 (4), 392-419, 2016 | 3 | 2016 |
| Robust and Secure AI H Barmer, R Dzombak, M Gaston, E Heim, V Palat, F Redner, T Smith, ... Carnegie Mellon University, 2021 | 2 | 2021 |
| Measuring AI Systems Beyond Accuracy V Turri, R Dzombak, E Heim, N VanHoudnos, J Palat, A Sinha arXiv preprint arXiv:2204.04211, 2022 | 1 | 2022 |
| Adversarial Machine Learning for the DoD N VanHoudnos CARNEGIE-MELLON UNIV PITTSBURGH PA, 2020 | | 2020 |
| Train, but Verify: Towards Practical AI Robustness N VanHoudnos, M Churilla, J Helland, G Lewis, O Wright Carnegie Mellon University, Software Engineering Institute, 2020 | | 2020 |
| Human-Computer Decision Systems for Cybersecurity N VanHoudnos, S Moon, D French, B Lindauer, P Jansen, J Carbonell, ... | | 2016 |
| General Framework for Effect Sizes in Cluster Randomized Experiments. N VanHoudnos Society for Research on Educational Effectiveness, 2016 | | 2016 |
| The Efficacy of the Hedges Correction for Unmodeled Clustering, and Its Generalizations in Practical Settings A Dissertation Submitted to the Graduate School in Partial … N VanHoudnos Carnegie Mellon University Pittsburgh, 2014 | | 2014 |
| On Correcting a Significance Test for Model Misspecification1 N VanHoudnos | | 2013 |
| My City Counselor: Enhancing Social Interactions of the Elderly Y Lee Carnegie Mellon University, 2011 | | 2011 |
| Should the Internet grade Math? N VanHoudnos | | |
| Can the Internet grade math? N VanHoudnos | | |
