An Investigation of Face and Fingerprint Feature-Fusion Guidelines. - Dane Brown; Karen L. Bradshaw (BDAS, 2016)

Extended Feature-Fusion Guidelines to Improve Image-Based Multi-Modal Biometrics. - Dane Brown; Karen L. Bradshaw (SAICSIT, 2016)

Improved Automatic Face Segmentation and Recognition for Applications with Limited Training Data. - Dane Brown; Karen L. Bradshaw (BDAS, 2017)

How Much Privacy Does $3, 165 Buy You? - Jeremy Martin; Dane Brown; Kris Merrion; Lamont Brown; Travis Mayberry (PST, 2017)

Return-Oriented Programming on a Cortex-M Processor. - Nathanael R. Weidler; Dane Brown; Samuel A. Mitchell; Joel Anderson; Jonathan R. Williams; Austin Costley; Chase Kunz; Christopher Wilkinson; Remy Wehbe; Ryan M. Gerdes (TrustCom/BigDataSE/ICESS, 2017)

A Study of MAC Address Randomization in Mobile Devices and When it Fails. - Jeremy Martin; Travis Mayberry; Collin Donahue; Lucas Foppe; Lamont Brown; Chadwick Riggins; Erik C. Rye; Dane Brown (Proc. Priv. Enhancing Technol., 2017)

Feature-Fusion Guidelines for Image-Based Multi-Modal Biometric Fusion. - Dane Brown; Karen L. Bradshaw (South Afr. Comput. J., 2017)

Classifying Solid State Drive Firmware via Side-Channel Current Draw Analysis. - Zachary Johnson; Alex Varon; Justin A. Blanco; Ryan N. Rakvic; James Shey; Hau T. Ngo; Dane Brown; T. Owens Walker (DASC/PiCom/DataCom/CyberSciTech, 2018)

Towards detection of modified firmware on solid state drives via side channel analysis. - Dane Brown; T. Owens Walker; Ryan N. Rakvic; Robert W. Ives; Hau T. Ngo; James Shey; Justin A. Blanco (MEMSYS, 2018)

Using Current Draw Analysis to Identify Suspicious Firmware Behavior in Solid State Drives. - Ryan McDowell; Ryan N. Rakvic; Hau T. Ngo; T. Owens Walker; Robert W. Ives; Dane Brown (CSE/EUC, 2019)

Multi-angled Face Segmentation and Identification Using Limited Data. - Dane Brown (SITIS, 2019)

Improved Palmprint Segmentation for Robust Identification and Verification. - Dane Brown; Karen L. Bradshaw (SITIS, 2019)

Return-oriented programming on a resource constrained device. - Nathanael R. Weidler; Dane Brown; Samuel A. Mitchell; Joel Anderson; Jonathan R. Williams; Austin Costley; Chase Kunz; Christopher Wilkinson; Remy Wehbe; Ryan M. Gerdes (Sustain. Comput. Informatics Syst., 2019)

Analysis of Firmware Security in Embedded ARM Environments. - Dane Brown (2019)

Efficient architecture design for the AES-128 algorithm on embedded systems. - Rupam Mondal; Hau T. Ngo; James Shey; Ryan N. Rakvic; T. Owens Walker; Dane Brown (CF, 2020)

Classifying Proprietary Firmware on a Solid State Drive Using Idle State Current Draw Measurements. - T. Owens Walker; Justin A. Blanco; Ryan N. Rakvic; Ann C. Vanleer; Dane Brown; James Shey; Gregory L. Sinsley; Hau T. Ngo; Robert W. Ives (IEEE Access, 2020)

Adaptive Machine Learning Based Network Intrusion Detection. - Hatitye Chindove; Dane Brown (icARTi, 2021)

Who Tracks the Trackers?: Circumventing Apple's Anti-Tracking Alerts in the Find My Network. - Travis Mayberry; Ellis Fenske; Dane Brown; Jeremy Martin; Christine Fossaceca; Erik C. Rye; Sam Teplov; Lucas Foppe (WPES@CCS, 2021)

Detecting firmware modification on solid state drives via current draw analysis. - Dane Brown; T. Owens Walker III; Justin A. Blanco; Robert W. Ives; Hau T. Ngo; James Shey; Ryan N. Rakvic (Comput. Secur., 2021)

Three Years Later: A Study of MAC Address Randomization In Mobile Devices And When It Succeeds. - Ellis Fenske; Dane Brown; Jeremy Martin; Travis Mayberry; Peter Ryan 001; Erik C. Rye (Proc. Priv. Enhancing Technol., 2021)

Improving Licence Plate Detection Using Generative Adversarial Networks. - Alden Boby; Dane Brown (IbPRIA, 2022)

Golf Swing Sequencing Using Computer Vision. - Marc Marais; Dane Brown (IbPRIA, 2022)

Analysis of Vulnerabilities in Satellite Software Bus Network Architecture. - Adrian Schalk; Luke Brodnik; Dane Brown (MILCOM, 2022)

Deep Palmprint Recognition with Alignment and Augmentation of Limited Training Samples. - Dane Brown; Karen L. Bradshaw (SN Comput. Sci., 2022)

Multispectral Plant Disease Detection with Vision Transformer-Convolutional Neural Network Hybrid Approaches. - Malithi De Silva; Dane Brown (Sensors, 2023)

Identifying Ransomware Functions Through Microarchitectural Side-Channel Analysis. - Connor Startzel; Dane Brown; T. Owens Walker; Jennie Hill (SciSec, 2024)

Poster: Building Confidence in Hardware-Based Ransomware Detection Through Hardware Performance Counter Event Correlation. - Ryan Binder; Joshua Byun; Dane Brown; T. Owens Walker; Jennie Hill (DIMVA (2), 2025)

Early detection of Wheat Stripe Mosaic Virus using multispectral imaging with deep-learning. - Malithi De Silva; Dane Brown (Ecol. Informatics, 2025)