Precise wind power prediction (WPP) can address the issue caused by large-scale wind
power grid integration to the power system operation. Most WPP research focus on the …

Backdoor (Trojan) attacks represent a significant adversarial threat to deep neural networks
(DNNs). In such attacks, the presence of an attacker's backdoor trigger causes a test …

By dint of the advantage of deeply integrating empirical knowledge and monitoring data, the
belief rule base (BRB) is widely used to assess the performance of complex systems …

Certified defense methods against adversarial perturbations have been recently
investigated in the black-box setting with a zeroth-order (ZO) perspective. However, these …

Recently, transferable adversarial attacks on deep neural networks (DNNs) have attracted
significant attention. Although existing adversarial attacks have achieved high attack …

Generative modeling and adversarial learning have significantly advanced the field of
computer vision, particularly in object recognition and synthesis, unsupervised domain …