3D face recognition with the average-half-face. - Josh Harguess; Shalini Gupta; Jake K. Aggarwal (ICPR, 2008)

A case for the average-half-face in 2D and 3D for face recognition. - Joshua Harguess; Jake K. Aggarwal (CVPR Workshops, 2009)

Semantic labeling of track events using time series segmentation and shape analysis. - Josh Harguess; J. K. Aggarwal (ICIP, 2009)

Patch-based face recognition from video. - Changbo Hu; Josh Harguess; J. K. Aggarwal (ICIP, 2009)

Fusing face recognition from multiple cameras. - Josh Harguess; Changbo Hu; J. K. Aggarwal (WACV, 2009)

Are face recognition methods useful for classifying ships? - Josh Harguess; Katie Rainey (AIPR, 2011)

Is there a connection between face symmetry and face recognition? - Joshua Harguess; Jake K. Aggarwal (CVPR Workshops, 2011)

Occlusion robust multi-camera face tracking. - Joshua Harguess; Changbo Hu; Jake K. Aggarwal (CVPR Workshops, 2011)

Full-motion recovery from multiple video cameras applied to face tracking and recognition. - Josh Harguess; Changbo Hu; J. K. Aggarwal (ICCV Workshops, 2011)

Generative NeuroEvolution for Deep Learning. - Phillip Verbancsics; Josh Harguess (CoRR, 2013)

Ego-Motion Estimation on Range Images Using High-Order Polynomial Expansion. - Brian Okorn; Josh Harguess (CVPR Workshops, 2014)

Deep learning through generative and developmental system. - Phillip Verbancsics; Joshua Harguess (GECCO (Companion), 2014)

Structured outlier models for robust dictionary learning. - Pedro A. Forero; Scott Shafer; Josh Harguess (CISS, 2015)

Classifying Maritime Vessels from Satellite Imagery with HyperNEAT. - Phillip Verbancsics; Josh Harguess (GECCO (Companion), 2015)

Feature Learning HyperNEAT: Evolving Neural Networks to Extract Features for Classification of Maritime Satellite Imagery. - Phillip Verbancsics; Josh Harguess (IPCAT, 2015)

Image Classification Using Generative Neuro Evolution for Deep Learning. - Phillip Verbancsics; Josh Harguess (WACV, 2015)

Optical flow on degraded imagery. - Josh Harguess; Chris Barngrover; Michael Reese (AIPR, 2016)

Automated mensuration of in-scene targets for video quality assessment. - Andrew R. Kalukin; Andrew J. Maltenfort; John Irvine 003; Joshua Harguess (AIPR, 2016)

Informativeness of Degraded Data in Training a Classification System. - Nancy Ronquillo; Josh Harguess (AIPR, 2017)

Sparsity-Driven Laplacian-Regularized Outlier Identification for Dictionary Learning. - Pedro A. Forero; Scott Shafer; Josh Harguess (IEEE Trans. Signal Process., 2017)

On Evaluating Video-based Generative Adversarial Networks (GANs). - Nancy Ronquillo; Josh Harguess (AIPR, 2018)

Report on the Second Annual Workshop on Naval Applications of Machine Learning. - Katie Rainey; Josh Harguess (AI Mag., 2018)

Ship classification from overhead imagery using synthetic data and domain adaptation. - Chris M. Ward; Josh Harguess; Cameron Hilton (CoRR, 2019)

Leveraging synthetic imagery for collision-at-sea avoidance. - Chris M. Ward; Josh Harguess; Alexander G. Corelli (CoRR, 2019)

Image quality assessment for determining efficacy and limitations of Super-Resolution Convolutional Neural Network (SRCNN). - Chris M. Ward; Josh Harguess; Brendan Crabb; Shibin Parameswaran (CoRR, 2019)

A Dynamic Thermal IR Display for Physical Adversarial Attacks. - Shiri Bendelac; Keith Manville; Josh Harguess; Mikel Rodriguez (AIPR, 2021)

Baseline Evaluation Methodology for Adversarial Patterns on Object Detection Models. - Emily Holt; Anto Malkastian; Savanna Smith; Chris M. Ward; Josh Harguess (AIPR, 2021)

Physical Adversarial Attacks in Simulated Environments. - Michael Threet; Colin Busho; Josh Harguess; Melanie Jutras; Nicole Lape; Sara Leary; Keith Manville; Mike Tan; Chris M. Ward (AIPR, 2021)

Adversarial Attack Attribution: Discovering Attributable Signals in Adversarial ML Attacks. - Marissa Dotter; Sherry Xie; Keith Manville; Josh Harguess; Colin Busho; Mikel Rodriguez (CoRR, 2021)

Exploring the Effect of Adversarial Attacks on Deep Learning Architectures for X-Ray Data. - Ilyas Bankole-Hameed; Arav Parikh; Josh Harguess (AIPR, 2022)

Is the Next Winter Coming for AI? Elements of Making Secure and Robust AI. - Josh Harguess; Chris M. Ward (AIPR, 2022)

Adversarial Barrel! An Evaluation of 3D Physical Adversarial Attacks. - Mohammad Zarei; Chris M. Ward; Josh Harguess; Marshal Aiken (AIPR, 2022)

The AI Security Pyramid of Pain. - Chris M. Ward; Josh Harguess; Julia Tao; Daniel Christman; Paul Spicer; Mike Tan (CoRR, 2024)

Offensive Security for AI Systems: Concepts, Practices, and Applications. - Josh Harguess; Chris M. Ward (CoRR, 2025)

Adversarial Threat Vectors and Risk Mitigation for Retrieval-Augmented Generation Systems. - Chris M. Ward; Josh Harguess (CoRR, 2025)