Engineering and Informatics Student Multidisciplinary Learning using 3D Visualization and 3D Display of Radio Frequency (RF) Concepts. - Lauren A. Christopher; Albert William; Anusha S. Rao; Ashley Dale; Anthony Chase; Mihir Piyush Joshi; Wendy Krogg; Bree Abernathy (FIE, 2018)

Trusted Data Anomaly Detection (TaDA) in Ground Truth Image Data. - William Boler; Ashley Dale; Lauren A. Christopher (AIPR, 2022)

CNN-based network has Network Anisotropy -work harder to learn rotated feature than non-rotated feature. - Ashley Dale; Mei Qiu; Lauren A. Christopher; Wendy Krogg; Albert William (AIPR, 2022)

All patched up: effective integration of real and synthetic features into a single image for object detection. - Ashley Dale; Lauren A. Christopher; William Reindl; Edwin Sanchez; Sam Brunes; Will Bickel; Jasmine Martin; Albert William (AIPR, 2023)

Towards Predicting the Success of Transfer-based Attacks by Quantifying Shared Feature Representations. - Ashley Dale; Mei Qiu; Che Bin Foo; Thomas Bsaibes; Lauren A. Christopher; Paul Salama (CoRR, 2024)

Direct Adversarial Latent Estimation to Evaluate Decision Boundary Complexity in Black Box Models. - Ashley Dale; Lauren A. Christopher (IEEE Trans. Artif. Intell., 2024)