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Artificial Intelligence (AI) advancements have enabled the development of Large Language Models (LLMs) that can perform a variety of tasks with remarkable semantic understanding and accuracy. ChatGPT is one such LLM that has gained…

软件工程 · 计算机科学 2024-08-02 M. Mehdi Kholoosi , M. Ali Babar , Roland Croft

The increasing trend of using Large Language Models (LLMs) for code generation raises the question of their capability to generate trustworthy code. While many researchers are exploring the utility of code generation for uncovering software…

密码学与安全 · 计算机科学 2024-04-08 Zahra Mousavi , Chadni Islam , Kristen Moore , Alsharif Abuadbba , Muhammad Ali Babar

This paper proposes a pipeline for quantitatively evaluating interactive LLMs such as ChatGPT using publicly available dataset. We carry out an extensive technical evaluation of ChatGPT using Big-Vul covering five different common software…

软件工程 · 计算机科学 2024-04-08 Xin Yin

Large language models (LLMs) have demonstrated notable proficiency in code generation, with numerous prior studies showing their promising capabilities in various development scenarios. However, these studies mainly provide evaluations in…

软件工程 · 计算机科学 2024-03-19 Kailun Jin , Chung-Yu Wang , Hung Viet Pham , Hadi Hemmati

The evolution of Generative AI and the capabilities of the newly released Large Language Models (LLMs) open new opportunities in software engineering. However, they also lead to new challenges in cybersecurity. Recently, researchers have…

密码学与安全 · 计算机科学 2023-09-08 Mika Beckerich , Laura Plein , Sergio Coronado

LLM models are increasingly used to generate code, but the quality and security of this code are often uncertain. Several recent studies have raised alarm bells, indicating that such AI-generated code may be particularly vulnerable to…

密码学与安全 · 计算机科学 2025-12-05 Kobra Khanmohammadi , Pooria Roy , Raphael Khoury , Abdelwahab Hamou-Lhadj , Wilfried Patrick Konan

Large language models (LLMs) like ChatGPT (i.e., gpt-3.5-turbo and gpt-4) exhibited remarkable advancement in a range of software engineering tasks associated with source code such as code review and code generation. In this paper, we…

软件工程 · 计算机科学 2023-10-17 Michael Fu , Chakkrit Tantithamthavorn , Van Nguyen , Trung Le

Developers often build software on top of third-party libraries (Libs) to improve productivity, but these libraries may contain vulnerabilities that enable supply chain attacks. Existing tools detect vulnerable dependencies, yet developers…

密码学与安全 · 计算机科学 2026-03-31 Ying Zhang , Wenjia Song , Zhengjie Ji , Danfeng , Yao , Na Meng

Large Language Models (LLMs) have the potential to significantly enhance threat intelligence by automating the collection, preprocessing, and analysis of threat data. However, the usability of these tools is critical to ensure their…

密码学与安全 · 计算机科学 2024-09-24 Sanchana Srikanth , Mohammad Hasanuzzaman , Farah Tasnur Meem

Large language models (LLMs), such as ChatGPT, have rapidly penetrated into people's work and daily lives over the past few years, due to their extraordinary conversational skills and intelligence. ChatGPT has become the fastest-growing…

计算与语言 · 计算机科学 2024-09-04 Wenxuan Wang

The rapid advancement of Large Language Models (LLMs) has enhanced software development processes, minimizing the time and effort required for coding and enhancing developer productivity. However, despite their potential benefits, code…

密码学与安全 · 计算机科学 2025-04-30 Swaroop Dora , Deven Lunkad , Naziya Aslam , S. Venkatesan , Sandeep Kumar Shukla

Large language models (LLMs) have undergone rapid evolution and achieved remarkable results in recent times. OpenAI's ChatGPT, backed by GPT-3.5 or GPT-4, has gained instant popularity due to its strong capability across a wide range of…

密码学与安全 · 计算机科学 2023-12-12 Fangzhou Wu , Qingzhao Zhang , Ati Priya Bajaj , Tiffany Bao , Ning Zhang , Ruoyu "Fish" Wang , Chaowei Xiao

Several recent works have argued that Large Language Models (LLMs) can be used to tame the data deluge in the cybersecurity field, by improving the automation of Cyber Threat Intelligence (CTI) tasks. This work presents an evaluation…

密码学与安全 · 计算机科学 2025-11-13 Emanuele Mezzi , Fabio Massacci , Katja Tuma

$ $Large Language Models (LLMs) are being increasingly utilized in various applications, with code generations being a notable example. While previous research has shown that LLMs have the capability to generate both secure and insecure…

Large Language Models (LLMs) are frequently discussed in academia and the general public as support tools for virtually any use case that relies on the production of text, including software engineering. Currently there is much debate, but…

软件工程 · 计算机科学 2024-05-22 Ranim Khojah , Mazen Mohamad , Philipp Leitner , Francisco Gomes de Oliveira Neto

Large language models (LLMs), such as ChatGPT and Copilot, are transforming software development by automating code generation and, arguably, enable rapid prototyping, support education, and boost productivity. Therefore, correctness and…

Along with the development of large language models (LLMs), e.g., ChatGPT, many existing approaches and tools for software security are changing. It is, therefore, essential to understand how security-aware these models are and how these…

计算机与社会 · 计算机科学 2023-09-20 Jingyue Li , Per Håkon Meland , Jakob Svennevik Notland , André Storhaug , Jostein Hjortland Tysse

The proliferation of Large Language Models (LLMs), such as ChatGPT, has raised concerns about their potential impact on academic integrity, prompting the need for LLM-resistant exam designs. This article investigates the performance of LLMs…

计算与语言 · 计算机科学 2023-04-25 Simon kaare Larsen

Large Language Models (LLMs) such as ChatGPT and GitHub Copilot have revolutionized automated code generation in software engineering. However, as these models are increasingly utilized for software development, concerns have arisen…

密码学与安全 · 计算机科学 2024-12-03 Ahmad Mohsin , Helge Janicke , Adrian Wood , Iqbal H. Sarker , Leandros Maglaras , Naeem Janjua

Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized natural language understanding and generation. They possess deep language comprehension, human-like text generation capabilities, contextual awareness, and robust…

密码学与安全 · 计算机科学 2024-03-22 Yifan Yao , Jinhao Duan , Kaidi Xu , Yuanfang Cai , Zhibo Sun , Yue Zhang
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