Object detection algorithms based on convolutional neural networks (CNNs) have achieved
remarkable success in remote sensing images (RSIs), such as aircraft and ship detection …

Deep learning, as an important topic of artificial intelligence, has been widely applied in
various fields, especially in computer vision applications, such as image classification and …

Deep learning-based lane detection (LD) plays a critical role in autonomous driving
systems, such as adaptive cruise control. However, it is vulnerable to backdoor attacks …

Vision Transformers (ViTs) have achieved great success in UAV target detection tasks.
However, little attention has been paid to the adversarial attack against ViT-based detectors …

Deep Neural Networks (DNNs) have attained remarkable success in aerial detection tasks,
yet they remain susceptible to adversarial samples, posing a significant challenge for their …

A growing trend in the field of adversarial attacks is evolving from the digital domain to the
more challenging physical domain. The previous works mainly employ printable adversarial …