Segments-aware universal adversarial perturbations purification on 3D point cloud classifiers
Introduction3D point cloud classifiers, while powerful for representing real-world objects and environments, are vulnerable to adversarial perturbations, particularly Universal Adversarial Perturbations (UAPs). These UAPs pose significant security threats due to their input-agnostic nature. Current...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Frontiers Media S.A.
2025-11-01
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| Seri Bilgileri: | Frontiers in Computer Science |
| Konular: | |
| Online Erişim: | https://www.frontiersin.org/articles/10.3389/fcomp.2025.1626359/full |
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