Transformer architectures are highly expressive because they use self-attention
mechanisms to encode long-range dependencies in the input sequences. In this paper, we …

In this paper, we delve into the transformative role of pre-trained language models (PLMs) in
cybersecurity, offering a comprehensive examination of their deployment across a wide …

With the rapid popularity and continuous development of social networks, users'
communication and interaction through platforms such as microblogs and forums have …

The popularity of Windows attracts the attention of hackers/cyber-attackers, making Windows
devices the primary target of malware attacks in recent years. Several sophisticated malware …

Background Android is the most widely used operating system all over the world. Due to its
open nature, the Android operating system has become the target of malicious coders …

With the growing use of Deep Learning (DL) to tackle various problems, securing these
models against adversaries has become a primary concern for researchers. Recent studies …

As a popular platform-independent language, Java is widely used in enterprise applications.
In the past few years, language vulnerabilities exploited by Java malware have become …

Travel online reviews is important experience related information for understanding an
inherent personality trait, novelty seeking (NS), which influences tourism motivation and the …

Recent methods have demonstrated that machine learning (ML) based static malware
detection models are vulnerable to adversarial attacks. However, the generated malware …

This study is an in-depth exploration of the nascent field of Natural Language Processing
(NLP) and generative Artificial Intelligence (AI), and it concentrates on the vital task of …