| 2022 | ICPR | Cross-Subject Deep Transfer Models for Evoked Potentials in Brain-Computer Interface. | Chad Mello, Troy Weingart, Ethan M. Rudd |
| 2020 | SP | Learning from Context: A Multi-View Deep Learning Architecture for Malware Detection. | Adarsh Kyadige, Ethan M. Rudd, Konstantin Berlin |
| 2017 | CVPR | Toward Open-Set Face Recognition. | Manuel Gnther, Steve Cruz, Ethan M. Rudd, Terrance E. Boult |
| 2017 | ICMLA | Incremental Open Set Intrusion Recognition Using Extreme Value Machine. | James Henrydoss, Steve Cruz, Ethan M. Rudd, Manuel Gnther, Terrance E. Boult |
| 2016 | CVPR | Adversarial Diversity and Hard Positive Generation. | Andras Rozsa, Ethan M. Rudd, Terrance E. Boult |
| 2016 | CVPR | CALIPER: Continuous Authentication Layered with Integrated PKI Encoding Recognition. | Ethan M. Rudd, Terrance E. Boult |
| 2016 | CVPR | PARAPH: Presentation Attack Rejection by Analyzing Polarization Hypotheses. | Ethan M. Rudd, Manuel Gnther, Terrance E. Boult |
| 2016 | ECCV | MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes. | Ethan M. Rudd, Manuel Gnther, Terrance E. Boult |
| 2016 | ICPR | Are facial attributes adversarially robust? | Andras Rozsa, Manuel Gnther, Ethan M. Rudd, Terrance E. Boult |
| 2016 | ISI | Automated big text security classification. | Khudran Alzhrani, Ethan M. Rudd, Terrance E. Boult, C. Edward Chow |
| 2014 | WACV | Exemplar codes for facial attributes and tattoo recognition. | Michael J. Wilber, Ethan M. Rudd, Brian Heflin, Yui-Man Lui, Terrance E. Boult |