| Tools and Practices for Responsible AI Engineering R Soklaski, J Goodwin, O Brown, M Yee, J Matterer arXiv preprint arXiv:2201.05647, 2022 | 15 | 2022 |
| Safe Predictors for Enforcing Input-Output Specifications S Mell, O Brown, J Goodwin, SH Son arXiv preprint arXiv:2001.11062, 2020 | 5 | 2020 |
| Kernelized Capsule Networks T Killian, J Goodwin, O Brown, SH Son arXiv preprint arXiv:1906.03164, 2019 | 5 | 2019 |
| Principles for Evaluation of AI/ML Model Performance and Robustness O Brown, A Curtis, J Goodwin arXiv preprint arXiv:2107.02868, 2021 | 4 | 2021 |
| Fast Training of Deep Neural Networks Robust to Adversarial Perturbations J Goodwin, O Brown, V Helus 2020 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2020 | 3 | 2020 |
| Backdoor Poisoning of Encrypted Traffic Classifiers JT Holodnak, O Brown, J Matterer, A Lemke 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 577-585, 2022 | 2 | 2022 |
| RobustAugMix: Joint Optimization of Natural and Adversarial Robustness J Martinez-Martinez, O Brown NeurIPS ML Safety Workshop, 2022 | 1 | 2022 |
| Towards Robustness to Natural Variations and Distribution Shift (Student Abstract) J Martínez-Martínez, O Brown, R Caceres Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23579 …, 2024 | | 2024 |
| Technologies for Reliable AI Test and Evaluation L Hamilton, G Botkin, O Brown, J Goodwin, M Yee, V Mancuso, ... Proceedings of the AAAI Symposium Series 2 (1), 233-235, 2023 | | 2023 |
| Proceedings of the Robust Artificial Intelligence System Assurance (RAISA) Workshop 2022 O Brown, B Dillman arXiv preprint arXiv:2202.04787, 2022 | | 2022 |
| Staff Build Robust Algorithms to Strengthen Machine Learning Methods O Brown, J Goodwin, B Missile | | 2020 |
| Learning Robust Representations for Automatic Target Recognition JA Goodwin, OM Brown, TW Killian, SH Son arXiv preprint arXiv:1811.10714, 2018 | | 2018 |
| Learning Robust Representations for Automatic Target Recognition: FY18 Line-Supported Information, Computation & Exploitation Program JA Goodwin, OM Brown, TW Killian, SH Son | | 2018 |
| Response to the NIST RFI on an Artificial Intelligence Risk Management Framework K Kratkiewicz, D Staheli, W Streilein, D Ross, M Yee, O Brown, ... | | |
Justin GoodwinMIT Lincoln LaboratoryVerified email at ll.mit.edu
