The use of mobile devices is rising daily in this technological era. A continuous and
increasing number of mobile applications are constantly offered on mobile marketplaces to …

With the increasing use of mobile devices, malware attacks are rising, especially on Android
phones, which account for 72.2% of the total market share. Hackers try to attack …

The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …

Large language models (LLMs) have demonstrated an impressive ability to generate code
for various programming tasks. In many instances, LLMs can generate a correct program for …

Abstract System security assurance provides the confidence that security features, practices,
procedures, and architecture of software systems mediate and enforce the security policy …

Adversarial machine learning (AML) has the potential to leak training data, force arbitrary
classifications, and greatly degrade overall performance of machine learning models, all of …

Feature Application This study can be applied to software vulnerability detection. Abstract
Vulnerabilities threaten the security of information systems. It is crucial to detect and patch …

The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …

Many studies have developed Machine Learning (ML) approaches to detect Software
Vulnerabilities (SVs) in functions and fine-grained code statements that cause such SVs …

Software security is a very important aspect for software development organizations who
wish to provide high-quality and dependable software to their consumers. A crucial part of …