7 citations · 14 across the 5 of their papers we have counts for
5 papers
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…
3D Adversarial Attacks Beyond Point Cloud
Jinlai Zhang, Lyujie Chen, Binbin Liu +5
Recently, 3D deep learning models have been shown to be susceptible to adversarial attacks like their 2D counterparts. Most of the state-of-the-art (SOTA) 3D adversarial attacks pe…
The art of defense: letting networks fool the attacker
Jinlai Zhang, Yinpeng Dong, Binbin Liu +5
Robust environment perception is critical for autonomous cars, and adversarial defenses are the most effective and widely studied ways to improve the robustness of environment perc…
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…
Online Newton Step Algorithm with Estimated Gradient
Binbin Liu, Jundong Li, Yunquan Song +3
Online learning with limited information feedback (bandit) tries to solve the problem where an online learner receives partial feedback information from the environment in the cour…