2 papers
cs.CV2024
Enhancing Tracking Robustness with Auxiliary Adversarial Defense Networks
Zhewei Wu, Ruilong Yu, Qihe Liu +3
Adversarial attacks in visual object tracking have significantly degraded the performance of advanced trackers by introducing imperceptible perturbations into images. However, ther…
cs.LG2024
Towards a Novel Perspective on Adversarial Examples Driven by Frequency
Zhun Zhang, Yi Zeng, Qihe Liu +1
Enhancing our understanding of adversarial examples is crucial for the secure application of machine learning models in real-world scenarios. A prevalent method for analyzing adver…