Over the last few years, the adoption of machine learning in a wide range of domains has
been remarkable. Deep learning, in particular, has been extensively used to drive …

Context: With the rapid advancement of unmanned aerial vehicle (UAV) technology,
ensuring these autonomous systems' security and integrity is paramount. UAVs are …

The wide spread of rumors on social media has caused a negative impact on people's daily
life, leading to potential panic, fear, and mental health problems for the public. How to …

The acquisition, processing, mining, and visualization of sensory data for knowledge
discovery and decision support has recently been a popular area of research and …

Image captioning strives to generate pertinent captions for specified images, situating itself
at the crossroads of Computer Vision (CV) and Natural Language Processing (NLP). This …

Deep learning methods can not only detect false data injection attacks (FDIA) but also locate
attacks of FDIA. Although adversarial false data injection attacks (AFDIA) based on deep …

Although state estimation using a bad data detector (BDD) is a key procedure employed in
power systems, the detector is vulnerable to false data injection attacks (FDIAs). Substantial …

As the public use drones (aircraft that can operate semi or autonomous), sometimes referred
to as unmanned aerial vehicles or automotive aircrafts, to ease daily people's lifestyles …

This paper addresses various issues in the literature concerning adversarial attack detection
in Vehicular Ad-hoc Networks (VANETs). These issues include the failure to consider both …

Introduction Unmanned aerial vehicles (UAVs) are widely used in various computer vision
applications, especially in intelligent traffic monitoring, as they are agile and simplify …