3D Point Cloud Adversarial Sample Classification Algorithm Based on Self-Supervised Learning and Information Gain
The advancement of computing power has facilitated the development of three-dimensional point cloud neural networks, and the issue of adversarial samples in point clouds has garnered increasing attention. However, Current adversarial training methods often result in reduced classification effectiven...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10292605/ |