LEAP is a general purpose Evolutionary Computation package that combines readable and easy-to-use syntax for search and optimization algorithms with powerful distribution and visualization features.

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 ...

Abstract: Dataset distillation (DD) aims to accelerate the training speed of neural networks (NNs) by synthesizing a reduced dataset. NNs trained on the smaller dataset are expected to obtain almost ...