Security of Language Models for Code: A Systematic Literature Review
Language models for code (CodeLMs) have emerged as powerful tools for code-related
tasks, outperforming traditional methods and standard machine learning approaches …
tasks, outperforming traditional methods and standard machine learning approaches …
Robustness, security, privacy, explainability, efficiency, and usability of large language models for code
Large language models for code (LLM4Code), which demonstrate strong performance (eg,
high accuracy) in processing source code, have significantly transformed software …
high accuracy) in processing source code, have significantly transformed software …
Automated commit intelligence by pre-training
GitHub commits, which record the code changes with natural language messages for
description, play a critical role in software developers' comprehension of software evolution …
description, play a critical role in software developers' comprehension of software evolution …
A survey of neural code intelligence: Paradigms, advances and beyond
Neural Code Intelligence--leveraging deep learning to understand, generate, and optimize
code--holds immense potential for transformative impacts on the whole society. Bridging the …
code--holds immense potential for transformative impacts on the whole society. Bridging the …
Mutual Learning-Based Framework for Enhancing Robustness of Code Models via Adversarial Training
Deep code models (DCMs) have achieved impressive accomplishments and have been
widely applied to various code-related tasks. However, existing studies show that some …
widely applied to various code-related tasks. However, existing studies show that some …
Attribution-guided Adversarial Code Prompt Generation for Code Completion Models
Large language models have made significant progress in code completion, which may
further remodel future software development. However, these code completion models are …
further remodel future software development. However, these code completion models are …
A Survey on Adversarial Machine Learning for Code Data: Realistic Threats, Countermeasures, and Interpretations
Code Language Models (CLMs) have achieved tremendous progress in source code
understanding and generation, leading to a significant increase in research interests …
understanding and generation, leading to a significant increase in research interests …
Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning
Code Pre-trained Models (CodePTMs) based vulnerability detection have achieved
promising results over recent years. However, these models struggle to generalize as they …
promising results over recent years. However, these models struggle to generalize as they …
Towards robust, secure, and privacy-aware large language models of code
Z YANG - 2024 - ink.library.smu.edu.sg
The field of software engineering has witnessed a surge in large language models
specifically tailored to understand and process code, which we call large language models …
specifically tailored to understand and process code, which we call large language models …