Abstract: We propose a general attack framework based on evolutionary algorithms to quickly and efficiently generate low-perturbation adversarial samples for 3D point cloud data. Specifically, we ...
Xiong, S. , Sun, H. , Sun, T. , Li, Q. and Lu, H. (2026) Research on an Intelligent Algorithm for the Restoration of Fractured Aero Engine Wheel Disks. Journal of Computer and Communications, 14, 1-16 ...
Abstract: Physical adversarial examples (PAEs) are regarded as “whistle-blowers” of real-world risks in deep-learning applications, thus worth further investigation. However, current PAE generation ...