9 citations · 17 across the 5 of their papers we have counts for
5 papers
Improving transferability of 3D adversarial attacks with scale and shear transformations
Jinali Zhang, Yinpeng Dong, Jun Zhu +3
Previous work has shown that 3D point cloud classifiers can be vulnerable to adversarial examples. However, most of the existing methods are aimed at white-box attacks, where the p…
Adversarial samples for deep monocular 6D object pose estimation
Jinlai Zhang, Weiming Li, Shuang Liang +2
Estimating 6D object pose from an RGB image is important for many real-world applications such as autonomous driving and robotic grasping. Recent deep learning models have achieved…
Boosting 3D Adversarial Attacks with Attacking On Frequency
Binbin Liu, Jinlai Zhang, Lyujie Chen +1
Deep neural networks (DNNs) have been shown to be vulnerable to adversarial attacks. Recently, 3D adversarial attacks, especially adversarial attacks on point clouds, have elicited…
PointCutMix: Regularization Strategy for Point Cloud Classification
Jinlai Zhang, Lyujie Chen, Bo Ouyang +5
As 3D point cloud analysis has received increasing attention, the insufficient scale of point cloud datasets and the weak generalization ability of networks become prominent. In th…
Robust Autonomous Landing of UAV in Non-Cooperative Environments based on Dynamic Time Camera-LiDAR Fusion
Lyujie Chen, Xiaming Yuan, Yao Xiao +2
Selecting safe landing sites in non-cooperative environments is a key step towards the full autonomy of UAVs. However, the existing methods have the common problems of poor general…