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 ...
Build stronger decks faster. This 2025 tutorial shows Create with Copilot, auto notes for every slide, and branding via org ...
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If you find our work useful in your research, please consider citing: @article{qi2017pointnetplusplus, title={PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space}, ...
Abstract: Adversarial examples that fool machine learning models, particularly deep neural networks, have been a topic of intense research interest, with attacks and defenses being developed in a ...
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