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Large language model for vulnerability detection and repair: Literature review and the road ahead
The significant advancements in Large Language Models (LLMs) have resulted in their
widespread adoption across various tasks within Software Engineering (SE), including …
widespread adoption across various tasks within Software Engineering (SE), including …
Generative ai and large language models for cyber security: All insights you need
This paper provides a comprehensive review of the future of cybersecurity through
Generative AI and Large Language Models (LLMs). We explore LLM applications across …
Generative AI and Large Language Models (LLMs). We explore LLM applications across …
A survey on large language models for software engineering
Software Engineering (SE) is the systematic design, development, maintenance, and
management of software applications underpinning the digital infrastructure of our modern …
management of software applications underpinning the digital infrastructure of our modern …
Comparison of static application security testing tools and large language models for repo-level vulnerability detection
Software vulnerabilities pose significant security challenges and potential risks to society,
necessitating extensive efforts in automated vulnerability detection. There are two popular …
necessitating extensive efforts in automated vulnerability detection. There are two popular …
[HTML][HTML] A comprehensive review and assessment of cybersecurity vulnerability detection methodologies
The number of new vulnerabilities continues to rise significantly each year. Simultaneously,
vulnerability databases have challenges in promptly sharing new security events with …
vulnerability databases have challenges in promptly sharing new security events with …
[HTML][HTML] Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities
This paper provides a comprehensive review of the future of cybersecurity through
Generative AI and Large Language Models (LLMs). We explore LLM applications across …
Generative AI and Large Language Models (LLMs). We explore LLM applications across …
The Current Challenges of Software Engineering in the Era of Large Language Models
With the advent of large language models (LLMs) in the artificial intelligence (AI) area, the
field of software engineering (SE) has also witnessed a paradigm shift. These models, by …
field of software engineering (SE) has also witnessed a paradigm shift. These models, by …
Repository-Level Graph Representation Learning for Enhanced Security Patch Detection
Software vendors often silently release security patches without providing sufficient
advisories (eg, Common Vulnerabilities and Exposures) or delayed updates via resources …
advisories (eg, Common Vulnerabilities and Exposures) or delayed updates via resources …
SoK: On Closing the Applicability Gap in Automated Vulnerability Detection
The frequent discovery of security vulnerabilities in both open-source and proprietary
software underscores the urgent need for earlier detection during the development lifecycle …
software underscores the urgent need for earlier detection during the development lifecycle …
Large Language Models and Code Security: A Systematic Literature Review
Large Language Models (LLMs) have emerged as powerful tools for automating various
programming tasks, including security-related ones, such as detecting and fixing …
programming tasks, including security-related ones, such as detecting and fixing …