Abstract: Multi-objective evolutionary algorithms (MOEAs) have demonstrated significant success in solving multi-objective optimization problems (MOPs). However, their performance is highly sensitive ...
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 ...