Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …

Large language models (LLMs) have demonstrated extraordinary capabilities and
contributed to multiple fields, such as generating and summarizing text, language …

The advancement of large language models (LLMs) has significantly enhanced the ability to
effectively tackle various downstream NLP tasks and unify these tasks into generative …

The availability of large-scale datasets, advanced architectures, and powerful computational
resources have led to effective code models that automate diverse software engineering …

Backdoor attacks for neural code models have gained considerable attention due to the
advancement of code intelligence. However, most existing works insert triggers into task …

For decades, much software engineering research has been dedicated to devising
automated solutions aimed at enhancing developer productivity and elevating software …

Since the emergence of security concerns in artificial intelligence (AI), there has been
significant attention devoted to the examination of backdoor attacks. Attackers can utilize …

We present Virtual Prompt Injection (VPI) for instruction-tuned Large Language Models
(LLMs). VPI allows an attacker-specified virtual prompt to steer the model behavior under …

The availability of large-scale datasets, advanced architectures, and powerful computational
resources have led to effective code models that automate diverse software engineering …

Leveraging large-scale datasets from open-source projects and advances in large language
models, recent progress has led to sophisticated code models for key software engineering …