Adversarial attacks and defenses in machine learning and deep neural network (DNN) have
been gaining significant attention due to the rapidly growing applications of deep learning in …

The rapid development of artificial intelligence (AI) and breakthroughs in Internet of Things
(IoT) technologies have driven the innovation of advanced autonomous driving systems …

Due to the miniature scale and limited identifiable features, small objects pose a significant
challenge in detection. Improving the accuracy of small object detection is a momentous …

In real-world settings, object detectors frequently encounter continuously emerging object
instances from new classes. Incremental Object Detection (IOD) addresses this challenge by …

Vehicle automation has been in the works for a long time now. Automatic brakes, cruise
control, GPS satellite navigation, etc. are all common features seen in today's automobiles …

This paper systematically analyzes the security risks associated with artificial intelligence
(AI) components in autonomous vehicles (AVs). Given the increasing reliance on AI for …

Due to the complex backgrounds and diverse attributes of salient objects in optical remote
sensing images (RSIs), existing methods heavily rely on pixel-level annotations, with sparse …

The Internet of Things (IoT) and massive IoT systems are key to sixth-generation (6G)
networks due to dense connectivity, ultrareliability, low latency, and high throughput …

Deep neural networks have become increasingly significant in our daily lives due to their
remarkable performance. The issue of adversarial examples, which are responsible for the …

Synthetic Aperture Radar (SAR) finds widespread applications in environmental monitoring,
disaster management, ship surveillance, and military intelligence. However, existing target …