Geometry-Aware Generation of Adversarial Point Clouds
Machine learning models have been shown to be vulnerable to adversarial examples. While most of the existing methods for adversarial attack and defense work on the 2D image domain, a few recent attempts have been made to extend them to 3D point cloud data. However, adversarial results obtained by th...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 6 vom: 15. Juni, Seite 2984-2999
|
|---|
| 1. Verfasser: |
Wen, Yuxin
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Lin, Jiehong,
Chen, Ke,
Chen, C L Philip,
Jia, Kui |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2022
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
|
|---|
| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
|---|