研究论文
Adversarial Shape Perturbations on 3D Point Clouds
Daniel Liu, Ronald Yu, Hao Su
Torrey Pines Institute For Molecular Studies University of California San Diego
来源Lecture notes in computer science
年份2020
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
摘要 · 节选
暂未获取摘要。可打开原文或 PDF,后续可基于全文生成更完整的速读。
逐年被引趋势
1680
21
22
1623
24
25
26
关键指标
45
被引次数 · OpenAlex
2.77
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 7%
引用位次
同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
33
参考文献
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:文献信息
论文问答
当前基于文献信息回答
可就本文提问;依据不足时会说明。
学术脉络
学科主题
计算机 / AIAdversarial Robustness in Machine Learning
High-Velocity Impact and Material Behavior
参考文献 33
Evasion attacks against machine learning at test time
被引 1,633Battista Biggio, Igino Corona, Davide Maiorca · 2013
3D ShapeNets: A deep representation for volumetric shapes
被引 4,758Zhirong Wu, Shuran Song, Aditya Khosla · 2015
Two algorithms for constructing a Delaunay triangulation
被引 1,583D. T. Lee, Bruce J. Schachter · International Journal of Parallel Programming · 1980
此处列出前 3 条
引用本文 45
3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection
被引 66Alexander Lehner, Stefano Gasperini, Alvaro Marcos-Ramiro · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022
A Comprehensive Study of the Robustness for LiDAR-Based 3D Object Detectors Against Adversarial Attacks
被引 42Yifan Zhang, Junhui Hou, Yixuan Yuan · International Journal of Computer Vision · 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models against Adversarial Attacks
被引 34Yanjie Li, Bin Xie, Songtao Guo · ACM Computing Surveys · 2023
按被引量排序,此处列出前 3 条