| A comprehensive guide to CAN IDS data and introduction of the ROAD dataset ME Verma, RA Bridges, MD Iannacone, SC Hollifield, P Moriano, ... PLoS one 19 (1), e0296879, 2024 | 65* | 2024 |
| CAN-D: A modular four-step pipeline for comprehensively decoding controller area network data ME Verma, RA Bridges, JJ Sosnowski, SC Hollifield, MD Iannacone IEEE Transactions on Vehicular Technology 70 (10), 9685-9700, 2021 | 34 | 2021 |
| ACTT: Automotive CAN tokenization and translation M Verma, R Bridges, S Hollifield 2018 International Conference on Computational Science and Computational …, 2018 | 34 | 2018 |
| Detecting reports of unsafe foods in consumer product reviews A Maharana, K Cai, J Hellerstein, Y Hswen, M Munsell, V Staneva, ... JAMIA open 2 (3), 330-338, 2019 | 28 | 2019 |
| Active Manifolds: A non-linear analogue to Active Subspaces RA Bridges, AD Gruber, C Felder, M Verma, C Hoff Proceedings of the 36th International Conference on Machine Learning 97, 764-772, 2019 | 21 | 2019 |
| Time-based can intrusion detection benchmark DH Blevins, P Moriano, RA Bridges, ME Verma, MD Iannacone, ... arXiv preprint arXiv:2101.05781, 2021 | 19 | 2021 |
| Defining a metric space of host logs and operational use cases ME Verma, RA Bridges 2018 IEEE International Conference on Big Data (Big Data), 5068-5077, 2018 | 11 | 2018 |
| Beyond the hype: A real-world evaluation of the impact and cost of machine learning-based malware detection RA Bridges, S Oesch, ME Verma, MD Iannacone, KMT Huffer, B Jewell, ... arXiv preprint arXiv:2012.09214, 2020 | 8 | 2020 |
| D2U: Data driven user emulation for the enhancement of cyber testing, training, and data set generation S Oesch, RA Bridges, M Verma, B Weber, O Diallo Proceedings of the 14th Cyber Security Experimentation and Test Workshop, 17-26, 2021 | 5 | 2021 |
| Use of electronic fare transaction data for corridor planning. ME Hallenbeck, E Howard, D Zyuzin, RP Avery, M Verma Washington (State). Dept. of Transportation. Research Office, 2017 | 2 | 2017 |
| AI ATAC 1: An Evaluation of Prominent Commercial Malware Detectors RA Bridges, B Weber, JM Beaver, JM Smith, ME Verma, S Norem, ... 2023 IEEE International Conference on Big Data (BigData), 1620-1629, 2023 | 1 | 2023 |
| Beyond the Hype: An Evaluation of Commercially Available Machine Learning–based Malware Detectors RA Bridges, S Oesch, MD Iannacone, KMT Huffer, B Jewell, JA Nichols, ... Digital Threats: Research and Practice 4 (2), 1-22, 2023 | 1 | 2023 |
| Integrating Water Quality Data with a Bayesian Network Model to Improve Spatial and Temporal Phosphorus Attribution: Application to the Maumee River Basin Z Wei, S Alam, M Verma, M Hilderbran, Y Wu, B Anderson, DE Ho, ... Authorea Preprints, 2022 | | 2022 |
| Do Levees Redistribute Floodwater Risk? A Bayesian Assessment with the National Levee Database ME Verma Stanford University, 2022 | | 2022 |
| Attributing Sources of Surface Water Pollutants in the Maumee River Basin Using Network Modeling Z Wei, M Verma, Y Wu, S Alam, B Anderson, D Ho, J Suckale AGU Fall Meeting Abstracts 2021, H14A-05, 2021 | | 2021 |
| Detecting reports of unsafe foods in consumer product A Maharana, K Cai, J Hellerstein, Y Hswen, M Munsell, V Staneva, ... | | |
| Poster: Real ORNL Automotive Dynamometer (ROAD) CAN Intrusion Dataset SC Hollifield, ME Verma, MD Iannacone, RA Bridges, B Kay, FL Combs | | |
