3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
Curating Naturally Adversarial Datasets for Learning-Enabled Medical Cyber-Physical Systems
Sydney Pugh, Ivan Ruchkin, Insup Lee +1
Deep learning models have shown promising predictive accuracy for time-series healthcare applications. However, ensuring the robustness of these models is vital for building trustw…
cs.CV2023★ 3 cited
Detection of Adversarial Physical Attacks in Time-Series Image Data
Ramneet Kaur, Yiannis Kantaros, Wenwen Si +2
Deep neural networks (DNN) have become a common sensing modality in autonomous systems as they allow for semantically perceiving the ambient environment given input images. Neverth…