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...

Disgrifiad llawn

Manylion Llyfryddiaeth

Prif Awduron:	Yang Gao, Xianrui Chang, Haoran Li, Jian Xu
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	Frontiers Media S.A. 2025-11-01
Cyfres:	Frontiers in Computer Science
Pynciau:	deep learning computer vision 3D point cloud adversarial attack security and privacy defense
Mynediad Ar-lein:	https://www.frontiersin.org/articles/10.3389/fcomp.2025.1626359/full
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!