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 ...

Abstract: Deep learning models are highly susceptible to adversarial attacks, where subtle perturbations in the input images lead to misclassifications. Adversarial examples typically distort specific ...

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 ...