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 …

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 …

Change Detection is a classic task of computer vision that receives a bi-temporal image pair
as input and separates the semantically changed and unchanged regions of it. The diffusion …

This study conducts a thorough examination of malware detection using machine learning
techniques, focusing on the evaluation of various classification models using the Mal-API …

Large language models (LLMs) have reached human-like proficiency in generating diverse
textual content, underscoring the necessity for effective fake text detection to avoid potential …

Abstract Securing Internet of Things (IoT) devices is paramount to mitigate unauthorised
access and potential cyber threats, safeguarding the integrity of transmitted and processed …

The threat of cyber-attacks poses a considerable risk to Phasor Measurement Unit (PMU)
applications within Cyber-Physical Power Networks (CPPNs), leaving them susceptible to …

Deep neural networks have advanced significantly in the last several years and are now
widely employed in numerous significant real-world applications. However, recent research …

Phishing attacks are on the rise, and phishing websites are everywhere, denoting the
brittleness of security mechanisms reliant on blocklists. To cope with this threat, many works …

Deep neural networks (DNNs) have demonstrated high vulnerability to adversarial
examples, raising broad security concerns about their applications. Besides the attacks in …