Abstract: With increasingly stringent $\mathbf{C O}_{\mathbf{2}}$ emission standards, traditional two-dimensional driving cycles fail to consider the significant impact of slope on vehicle energy ...

Abstract: Membership inference (MI) attacks pose significant privacy threats to machine learning models by determining whether specific data points were used during training. Existing MI methods rely ...