Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task H Wu, W Ruan, J Wang, D Zheng, B Liu, Y Geng, X Chai, J Chen, K Li, ... IEEE Transactions on Artificial Intelligence, 2021 | 29 | 2021 |
Adversarial Driving: Attacking End-to-End Autonomous Driving H Wu, S Yunas, S Rowlands, W Ruan, J Wahlstrom IEEE Intelligent Vehicles Symposium (IV) 2023, 1-7, 2023 | 20* | 2023 |
Fine-grained assessment of COVID-19 severity based on clinico-radiological data using machine learning H Liu, J Wang, Y Geng, K Li, H Wu, J Chen, X Chai, S Li, D Zheng International Journal of Environmental Research and Public Health 19 (17), 10665, 2022 | 3 | 2022 |
Adversarial Detection: Attacking Object Detection in Real Time H Wu, S Yunas, S Rowlands, W Ruan, J Wahlström IEEE Intelligent Vehicles Symposium (IV) 2023, 1-7, 2023 | 2 | 2023 |
Distributed Black-box Attack against Image Classification Cloud Services H Wu, S Rowlands, J Wahlstrom arXiv preprint arXiv:2210.16371, 2022 | | 2022 |
A Man-in-the-Middle Attack against Object Detection Systems H Wu, S Rowlands, J Wahlstrom arXiv preprint arXiv:2208.07174, 2022 | | 2022 |