3 papers
cs.CV2024
-norm Distortion-Efficient Adversarial Attack
Chao Zhou, Yuan-Gen Wang, Zi-jia Wang +1
Adversarial examples have shown a powerful ability to make a well-trained model misclassified. Current mainstream adversarial attack methods only consider one of the distortions am…
cs.CV2024
Query-Efficient Hard-Label Black-Box Attack against Vision Transformers
Chao Zhou, Xiaowen Shi, Yuan-Gen Wang
Recent studies have revealed that vision transformers (ViTs) face similar security risks from adversarial attacks as deep convolutional neural networks (CNNs). However, directly ap…
cs.CV2024
STAL3D: Unsupervised Domain Adaptation for 3D Object Detection via Collaborating Self-Training and Adversarial Learning
Yanan Zhang, Chao Zhou, Di Huang
Existing 3D object detection suffers from expensive annotation costs and poor transferability to unknown data due to the domain gap, Unsupervised Domain Adaptation (UDA) aims to ge…