Abstract: Data-driven optimization problems (DDOPs) have become increasingly prevalent in real-world applications where analytical models are unavailable or expensive to evaluate. Data-driven ...
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 ...
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