Software Engineering (SE) is the systematic design, development, maintenance, and
management of software applications underpinning the digital infrastructure of our modern …

Transfer learning, successful in knowledge translation across related tasks, faces a
substantial privacy threat from membership inference attacks (MIAs). These attacks, despite …

As smartphones proliferate, secure and user-friendly authentication methods are
increasingly critical. Existing behavioral biometrics, however, are often compromised by …

To support software developers in understanding and maintaining programs, various
automatic (source) code summarization techniques have been proposed to generate a …

Smart contracts, the cornerstone of decentralized applications, have become increasingly
prominent in revolutionizing the digital landscape. However, vulnerabilities in smart …

Large Language Models (LLMs) are increasingly becoming fundamental in supporting
software developers in coding tasks. The massive datasets used for training LLMs are often …

Many Transformer-based pre-trained models for code have been developed and applied to
code-related tasks. In this paper, we analyze 519 papers published on this topic during 2017 …

While deep learning has advanced the automatic detection of software vulnerabilities,
current DL-based methods still face two major obstacles: the scarcity of vulnerable code …

Code Language Models (CLMs) have demonstrated high effectiveness in automating
software engineering tasks such as bug fixing, code generation, and code documentation …

Code Summarization Model (CSM) has been widely used in code production, such as
online and web programming for PHP and Javascript. CSMs are essential tools in code …