Abstract: Training deep neural networks (DNNs) with altered data, known as adversarial training, is essential for improving their robustness. A significant challenge emerges as the robustness ...

Abstract: Limited availability of automotive radar sensor datasets is hindering the advancement of deep learning-based radar sensing approaches for assisted and automated driving. To address this ...

It’s a familiar moment in math class—students are asked to solve a problem, and some jump in confidently while others freeze, unsure where to begin. When students don’t yet have a clear mental model ...