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对于评估3D对象检测稳定性的ConvNet生成的对抗性扰动

Temesgen Mikael Abraha1, John Brandon Graham-Knight1, Patricia Lasserre1

  • 1Computer Science, University of British Columbia Okanagan, Kelowna, BC V1V 1V7, Canada.

Sensors (Basel, Switzerland)
|October 16, 2025
PubMed
概括

本研究介绍了一种使用卷积神经网络 (ConvNet) 的无梯度方法,用于评估3D对象检测系统对敌对攻击的稳定性. 这种新的方法有效地降低了检测性能,特别是对于较小的物体,同时保持在传感器误差范围内.

关键词:
三维感知是3D的感知.李达尔 (LiDAR) 是一种激光雷达.敌对的攻击是对抗性的攻击.自动驾驶自动驾驶的自动驾驶.计算机视觉 计算机视觉深度学习是一种深度学习.对象检测检测对象检测对象检测点云点云是指点云.强大的人工智能强大的人工智能灵敏度分析是一种灵敏度分析.

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