| Image quality assessment for determining efficacy and limitations of Super-Resolution Convolutional Neural Network (SRCNN) CM Ward, J Harguess, B Crabb, S Parameswaran Applications of Digital Image Processing XL 10396, 19-30, 2017 | 59 | 2017 |
| Ship classification from overhead imagery using synthetic data and domain adaptation CM Ward, J Harguess, C Hilton OCEANS 2018 MTS/IEEE Charleston, 1-5, 2018 | 43 | 2018 |
| Classification of maritime vessels using capsule networks C Hilton, S Parameswaran, M Dotter, CM Ward, J Harguess Geospatial Informatics IX 10992, 87-93, 2019 | 10 | 2019 |
| Into the wild: a study in rendered synthetic data and domain adaptation methods M Dotter, C Mediavilla, J Sato, CM Ward, S Parameswaran, J Harguess Geospatial Informatics IX 10992, 76-86, 2019 | 8 | 2019 |
| Deep learning for automatic ordnance recognition CM Ward, J Harguess, C Hilton, C Mediavilla, K Sullivan, R Watkins Geospatial Informatics IX 10992, 103-112, 2019 | 7 | 2019 |
| Leveraging synthetic imagery for collision-at-sea avoidance CM Ward, J Harguess, AG Corelli Geospatial Informatics, Motion Imagery, and Network Analytics VIII 10645, 45-52, 2018 | 7 | 2018 |
| Is the next winter coming for AI? Elements of making secure and robust AI J Harguess, CM Ward 2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-7, 2022 | 6 | 2022 |
| Physical adversarial attacks in simulated environments M Threet, C Busho, J Harguess, M Jutras, N Lape, S Leary, K Manville, ... 2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-5, 2021 | 6 | 2021 |
| Adversarial examples in self-driving: A review of available datasets and attacks MR Alam, CM Ward 2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-6, 2022 | 5 | 2022 |
| Src3: A video dataset for evaluating domain mismatch J Sato, C Mediavilla, CM Ward, S Parameswaran 2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-7, 2019 | 4 | 2019 |
| Visualizing compression of deep learning models for classification M Dotter, CM Ward 2018 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-8, 2018 | 4 | 2018 |
| Detecting physical adversarial patch attacks with object detectors M Jutras, E Liang, S Leary, C Ward, K Manville 2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-7, 2022 | 2 | 2022 |
| Metrics for evaluating adversarial attack patterns S Smith, S Muto, A Evans, CM Ward, J Harguess, E Holt Geospatial Informatics XII 12099, 115-127, 2022 | 2 | 2022 |
| Baseline evaluation methodology for adversarial patterns on object detection models E Holt, A Malkastian, S Smith, C Ward, J Harguess 2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-6, 2021 | 2 | 2021 |
| The AI security pyramid of pain CM Ward, J Harguess, J Tao, D Christman, M Tan, P Spicer Assurance and Security for AI-enabled Systems 13054, 44-53, 2024 | 1 | 2024 |
| Fake it till you break it: evaluating the performance of synthetically optimized adversarial patches against real-world imagery M Zarei, CM Ward, J Harguess, M Aiken Geospatial Informatics XIII 12525, 172-183, 2023 | 1 | 2023 |
| Adversarial barrel! an evaluation of 3d physical adversarial attacks M Zarei, C Ward, J Harguess, M Aiken 2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-6, 2022 | 1 | 2022 |
| Synthetic imagery for spatial resolution selection in maritime remote sensing CM Ward, B Cichy SPIE Defense and Commercial Sensing Geospatial Informatics XI 11733, 1173305, 2021 | 1 | 2021 |
| Securing the attack surface of AI-enabled systems (Conference Presentation) JD Harguess, CM Ward Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2023 | | 2023 |
| Identifying novel vessel classes with OOD methods CM Ward, S Borden, K Rainey, S Hobbs Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2021 | | 2021 |
Josh HarguessCranium AIVerified email at utexas.edu
