Artificial Intelligence: Too Fragile to Fight? E Jatho, JA Kroll US Naval Institute, 2022 | 6 | 2022 |
From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ML S Rismani, R Shelby, A Smart, E Jatho, J Kroll, AJ Moon, N Rostamzadeh Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 4 | 2023 |
Defending Against Adversarial Examples in Deep Neural Network Classifiers A Barton, E Jatho III Monterey, California. Naval Postgraduate School, 2021 | 3 | 2021 |
A survey of distributed capability file systems and their application to cloud environments EW Jatho III, NPSM CA Masters thesis, Naval Postgraduate School, Monterey, CA, 2014 | 1 | 2014 |
Finding and Fixing Fragility in Machine Learning E Jatho https://calhoun.nps.edu/handle/10945/72193, 2023 | | 2023 |
Concrete Safety for ML Problems: System Safety for ML Development and Assessment EW Jatho, LO Mailloux, ED Williams, P McClure, JA Kroll arXiv preprint arXiv:2302.02972, 2023 | | 2023 |
System Safety Engineering for Social and Ethical ML Risks: A Case Study EW Jatho III, LO Mailloux, S Rismani, ED Williams, JA Kroll arXiv preprint arXiv:2211.04602, 2022 | | 2022 |