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

Language models for code (CodeLMs) have emerged as powerful tools for code-related
tasks, outperforming traditional methods and standard machine learning approaches …

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

Context: AI code generators are revolutionizing code writing and software development, but
their training on large datasets, including potentially untrusted source code, raises security …

Neural Code Intelligence--leveraging deep learning to understand, generate, and optimize
code--holds immense potential for transformative impacts on the whole society. Bridging the …

Large language models (LLMs) have revolutionized software development practices, yet
concerns about their safety have arisen, particularly regarding hidden backdoors, aka …

Code Language Models (CLMs), particularly those leveraging deep learning, have achieved
significant success in code intelligence domain. However, the issue of security, particularly …

Neural code models (NCMs) have been widely used for addressing various code
understanding tasks, such as defect detection and clone detection. However, numerous …

Abstract Context: Large Language Models are becoming integral to software development.
They are trained on open data from platforms like GitHub, making them vulnerable to …

Backdoor attacks can mislead deep bug search models by exploring model-sensitive
assembly code, which can change alerts to benign results and cause buggy binaries to …