| Apricot: A dataset of physical adversarial attacks on object detection A Braunegg, A Chakraborty, M Krumdick, N Lape, S Leary, K Manville, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 42 | 2020 |
| Overhead detection: Beyond 8-bits and rgb E Mace, K Manville, M Barbu-McInnis, M Laielli, M Klaric, S Dooley arXiv preprint arXiv:1808.02443, 2018 | 9 | 2018 |
| The vulnerability of UAVs: An adversarial machine learning perspective M Doyle, J Harguess, K Manville, M Rodriguez Geospatial Informatics XI 11733, 81-92, 2021 | 7 | 2021 |
| Adversarial attack attribution: discovering attributable signals in adversarial ML attacks M Dotter, S Xie, K Manville, J Harguess, C Busho, M Rodriguez arXiv preprint arXiv:2101.02899, 2021 | 5 | 2021 |
| Machine Learning Model Attribution Challenge E Merkhofer, D Chaudhari, HS Anderson, K Manville, L Wong, J Gante arXiv preprint arXiv:2302.06716, 2023 | 4 | 2023 |
| 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 | 3 | 2021 |
| 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 |
| A Dynamic Thermal IR Display for Physical Adversarial Attacks S Bendelac, K Manville, J Harguess, M Rodriguez 2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-7, 2021 | 2 | 2021 |
| Watermarking for Data Provenance in Object Detection A Snarski, WL Dimon, K Manville, M Krumdick 2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-7, 2022 | | 2022 |
| Quantification of constituents in areal and intimate binary mixtures of particulate materials MS West, RG Resmini, K Manville Active and Passive Signatures II 8040, 110-121, 2011 | | 2011 |
