While deep neural networks (DNNs) have revolutionized many fields, their fragility to
carefully designed adversarial attacks impedes the usage of DNNs in safety-critical …

Deep learning-based aerial detection is an essential component in modern aircraft,
providing fundamental functions such as navigation and situational awareness. Though …

Vehicle detection in Unmanned Aerial Vehicle (UAV) captured images has wide
applications in aerial photography and remote sensing. There are many public benchmark …

Deep neural networks have made great achievements in remote sensing image analyses;
however, previous studies have shown that deep neural networks exhibit incredible …

Most existing adversarial attack methods for remote sensing images merely add adversarial
perturbations or patches, resulting in unnatural modifications. Clouds are common …

Deep Neural Networks exhibit inherent vulnerabilities to adversarial attacks, which can
significantly compromise their outputs and reliability. While existing research primarily …

Recently, the demand for satellite image analysis increased with the recent advancement in
various research areas (eg, improvements in remote sensing image resolution, object …

With the rapid development of satellite and remote sensing technology, the huge remote
sensing data is being accumulated, which has been widely used in many fields, such as …

With the rapid development of satellite and remote sensing technology, the huge remote
sensing data is being accumulated, which has been widely used in many fields, such as …

This paper focuses on the research of physical domain adversarial examples in the field of
machine learning security. Through in-depth analysis of the mainstream generation …