65 citations · 177 across the 8 of their papers we have counts for
8 papers
PointBA: Towards Backdoor Attacks in 3D Point Cloud
Xinke Li, Zhirui Chen, Yue Zhao +4
3D deep learning has been increasingly more popular for a variety of tasks including many safety-critical applications. However, recently several works raise the security issues of…
Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene
Xinke Li, Chongshou Li, Zekun Tong +5
Learning on 3D scene-based point cloud has received extensive attention as its promising application in many fields, and well-annotated and multisource datasets can catalyze the de…
Revisiting Modified Greedy Algorithm for Monotone Submodular Maximization with a Knapsack Constraint
Jing Tang, Xueyan Tang, Andrew Lim +3
Monotone submodular maximization with a knapsack constraint is NP-hard. Various approximation algorithms have been devised to address this optimization problem. In this paper, we r…
Directed Graph Convolutional Network
Zekun Tong, Yuxuan Liang, Changsheng Sun +2
Graph Convolutional Networks (GCNs) have been widely used due to their outstanding performance in processing graph-structured data. However, the undirected graphs limit their appli…
Efficient Approximation Algorithms for Adaptive Influence Maximization
Keke Huang, Jing Tang, Kai Han +5
Given a social network and an integer , the influence maximization (IM) problem asks for a seed set of nodes from to maximize the expected number of nodes influe…
On Isometry Robustness of Deep 3D Point Cloud Models under Adversarial Attacks
Yue Zhao, Yuwei Wu, Caihua Chen +1
While deep learning in 3D domain has achieved revolutionary performance in many tasks, the robustness of these models has not been sufficiently studied or explored. Regarding the 3…