Exemplar codes for facial attributes and tattoo recognition. - Michael J. Wilber; Ethan M. Rudd; Brian Heflin; Yui-Man Lui; Terrance E. Boult (WACV, 2014)

Automated big security text pruning and classification. - Khudran Alzhrani; Ethan M. Rudd; C. Edward Chow; Terrance E. Boult (IEEE BigData, 2016)

Adversarial Diversity and Hard Positive Generation. - Andras Rozsa; Ethan M. Rudd; Terrance E. Boult (CVPR Workshops, 2016)

CALIPER: Continuous Authentication Layered with Integrated PKI Encoding Recognition. - Ethan M. Rudd; Terrance E. Boult (CVPR Workshops, 2016)

PARAPH: Presentation Attack Rejection by Analyzing Polarization Hypotheses. - Ethan M. Rudd; Manuel Günther; Terrance E. Boult (CVPR Workshops, 2016)

MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes. - Ethan M. Rudd; Manuel Günther; Terrance E. Boult (ECCV (5), 2016)

Are facial attributes adversarially robust? - Andras Rozsa; Manuel Günther; Ethan M. Rudd; Terrance E. Boult (ICPR, 2016)

Automated big text security classification. - Khudran Alzhrani; Ethan M. Rudd; Terrance E. Boult; C. Edward Chow (ISI, 2016)

Toward Open-Set Face Recognition. - Manuel Günther; Steve Cruz; Ethan M. Rudd; Terrance E. Boult (CVPR Workshops, 2017)

Incremental Open Set Intrusion Recognition Using Extreme Value Machine. - James Henrydoss; Steve Cruz; Ethan M. Rudd; Manuel Günther; Terrance E. Boult (ICMLA, 2017)

A Survey of Stealth Malware Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions. - Ethan M. Rudd; Andras Rozsa; Manuel Günther; Terrance E. Boult (IEEE Commun. Surv. Tutorials, 2017)

Automated U.S Diplomatic Cables Security Classification: Topic Model Pruning vs. Classification Based on Clusters. - Khudran Alzhrani; Ethan M. Rudd; C. Edward Chow; Terrance E. Boult (CoRR, 2017)

Open Set Intrusion Recognition for Fine-Grained Attack Categorization. - Steve Cruz; Cora Coleman; Ethan M. Rudd; Terrance E. Boult (CoRR, 2017)

MEADE: Towards a Malicious Email Attachment Detection Engine. - Ethan M. Rudd; Richard E. Harang; Joshua Saxe (CoRR, 2018)

Principled Uncertainty Estimation for Deep Neural Networks. - Richard E. Harang; Ethan M. Rudd (CoRR, 2018)

The Extreme Value Machine. - Ethan M. Rudd; Lalit P. Jain; Walter J. Scheirer; Terrance E. Boult (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation. - Ethan M. Rudd; Felipe N. Ducau; Cody Wild; Konstantin Berlin; Richard E. Harang (USENIX Security Symposium, 2019)

SMART: Semantic Malware Attribute Relevance Tagging. - Felipe N. Ducau; Ethan M. Rudd; Tad M. Heppner; Alex Long; Konstantin Berlin (CoRR, 2019)

Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection. - Adarsh Kyadige; Ethan M. Rudd; Konstantin Berlin (CoRR, 2019)

Facial attributes: Accuracy and adversarial robustness. - Andras Rozsa; Manuel Günther; Ethan M. Rudd; Terrance E. Boult (Pattern Recognit. Lett., 2019)

Learning from Context: A Multi-View Deep Learning Architecture for Malware Detection. - Adarsh Kyadige; Ethan M. Rudd; Konstantin Berlin (SP (Workshops), 2020)

Training Transformers for Information Security Tasks: A Case Study on Malicious URL Prediction. - Ethan M. Rudd; Ahmed Abdallah (CoRR, 2020)

SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection. - Richard E. Harang; Ethan M. Rudd (CoRR, 2020)

Efficient Malware Analysis Using Metric Embeddings. - Ethan M. Rudd; David Krisiloff; Daniel Olszewski; Edward Raff; James Holt (CAMLIS, 2022)

Cross-Subject Deep Transfer Models for Evoked Potentials in Brain-Computer Interface. - Chad Mello; Troy Weingart; Ethan M. Rudd (ICPR, 2022)

Transformers for End-to-End InfoSec Tasks: A Feasibility Study. - Ethan M. Rudd; Mohammad Saidur Rahman 002; Philip Tully (WoRMA@AsiaCCS, 2022)

Efficient Malware Analysis Using Metric Embeddings. - Ethan M. Rudd; David Krisiloff; Scott E. Coull; Daniel Olszewski; Edward Raff; James Holt (DTRAP, 2024)

A Practical Guide for Evaluating LLMs and LLM-Reliant Systems. - Ethan M. Rudd; Christopher Andrews; Philip Tully (CoRR, 2025)