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相关论文: LLMs for Cyber Security: New Opportunities

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Recently, the powerful large language models (LLMs) have been instrumental in propelling the progress of recommender systems (RS). However, while these systems have flourished, their susceptibility to security threats has been largely…

计算与语言 · 计算机科学 2024-06-06 Jinghao Zhang , Yuting Liu , Qiang Liu , Shu Wu , Guibing Guo , Liang Wang

The success and wide adoption of generative AI (GenAI), particularly large language models (LLMs), has attracted the attention of cybercriminals seeking to abuse models, steal sensitive data, or disrupt services. Moreover, providing…

Large language models (LLMs) have demonstrated significant potential in the realm of natural language understanding and programming code processing tasks. Their capacity to comprehend and generate human-like code has spurred research into…

Large Language Models (LLMs) have emerged as powerful tools in the field of Natural Language Processing (NLP) and have recently gained significant attention in the domain of Recommendation Systems (RS). These models, trained on massive…

信息检索 · 计算机科学 2024-06-19 Likang Wu , Zhi Zheng , Zhaopeng Qiu , Hao Wang , Hongchao Gu , Tingjia Shen , Chuan Qin , Chen Zhu , Hengshu Zhu , Qi Liu , Hui Xiong , Enhong Chen

Large Language Models (LLMs) have gained significant attention in the medical domain for their human-level capabilities, leading to increased efforts to explore their potential in various healthcare applications. However, despite such a…

The recent surge in jailbreaking attacks has revealed significant vulnerabilities in Large Language Models (LLMs) when exposed to malicious inputs. While various defense strategies have been proposed to mitigate these threats, there has…

计算与语言 · 计算机科学 2025-02-24 Tianlong Li , Zhenghua Wang , Wenhao Liu , Muling Wu , Shihan Dou , Changze Lv , Xiaohua Wang , Xiaoqing Zheng , Xuanjing Huang

The advancement of Large Language Models (LLMs), including GPT-4, provides exciting new opportunities for generative design. We investigate the application of this tool across the entire design and manufacturing workflow. Specifically, we…

The rapid advances in Large Language Models (LLMs) have the potential to transform manufacturing industry, offering new opportunities to optimize processes, improve efficiency, and drive innovation. This paper provides a comprehensive…

Deep learning-based approaches, particularly those leveraging pre-trained language models (PLMs), have shown promise in automated software vulnerability detection. However, existing methods are predominantly limited to specific programming…

软件工程 · 计算机科学 2025-05-13 Junji Yu , Honglin Shu , Michael Fu , Dong Wang , Chakkrit Tantithamthavorn , Yasutaka Kamei , Junjie Chen

Large Language Models (LLMs) are used for many different software engineering tasks. In software architecture, they have been applied to tasks such as classification of design decisions, detection of design patterns, and generation of…

软件工程 · 计算机科学 2025-05-23 Larissa Schmid , Tobias Hey , Martin Armbruster , Sophie Corallo , Dominik Fuchß , Jan Keim , Haoyu Liu , Anne Koziolek

Large Language Models (LLMs) have become a milestone in the field of artificial intelligence and natural language processing. However, their large-scale deployment remains constrained by the need for significant computational resources.…

计算与语言 · 计算机科学 2025-08-07 Julián Camilo Velandia Gutiérrez

A high volume of recent ML security literature focuses on attacks against aligned large language models (LLMs). These attacks may extract private information or coerce the model into producing harmful outputs. In real-world deployments,…

机器学习 · 计算机科学 2025-02-13 Ang Li , Yin Zhou , Vethavikashini Chithrra Raghuram , Tom Goldstein , Micah Goldblum

Large language models (LLM) have revolutionized the processing of natural language. Although first benchmarks of the process modeling abilities of LLM are promising, it is currently under debate to what extent an LLM can generate good…

计算与语言 · 计算机科学 2025-03-19 Peter Fettke , Constantin Houy

Large language models (LLMs) have received considerable attention recently due to their outstanding comprehension and reasoning capabilities, leading to great progress in many fields. The advancement of LLM techniques also offers promising…

系统与控制 · 电气工程与系统科学 2024-09-17 Hao Zhou , Chengming Hu , Ye Yuan , Yufei Cui , Yili Jin , Can Chen , Haolun Wu , Dun Yuan , Li Jiang , Di Wu , Xue Liu , Charlie Zhang , Xianbin Wang , Jiangchuan Liu

Recent advances in large language models (LLMs) have opened new possibilities for artificial intelligence applications in finance. In this paper, we provide a practical survey focused on two key aspects of utilizing LLMs for financial…

综合金融 · 定量金融 2024-07-10 Yinheng Li , Shaofei Wang , Han Ding , Hang Chen

Large language models (LLMs) are sophisticated artificial intelligence systems that enable machines to generate human-like text with remarkable precision. While LLMs offer significant technological progress, their development using vast…

密码学与安全 · 计算机科学 2025-06-23 Yashothara Shanmugarasa , Ming Ding , M. A. P Chamikara , Thierry Rakotoarivelo

Artificial intelligence (AI) technology has advanced rapidly in recent years, with large language models (LLMs) emerging as a significant breakthrough. LLMs are increasingly making an impact across various industries, with the medical field…

人工智能 · 计算机科学 2025-09-24 Zhiyu Kan , Wensheng Gan , Zhenlian Qi , Philip S. Yu

The paper underscores the significance of Large Language Models (LLMs) in reshaping recommender systems, attributing their value to unique reasoning abilities absent in traditional recommenders. Unlike conventional systems lacking direct…

信息检索 · 计算机科学 2024-03-20 Arpita Vats , Vinija Jain , Rahul Raja , Aman Chadha

The widespread adoption of Large Language Models (LLMs) has revolutionized AI deployment, enabling autonomous and semi-autonomous applications across industries through intuitive language interfaces and continuous improvements in model…

密码学与安全 · 计算机科学 2025-10-20 Adam Swanda , Amy Chang , Alexander Chen , Fraser Burch , Paul Kassianik , Konstantin Berlin

Large Language Models (LLMs) have demonstrated their remarkable capabilities in numerous fields. This survey focuses on how LLMs empower users, regardless of their technical background, to use human languages to automatically generate…

软件工程 · 计算机科学 2025-04-03 Nam Huynh , Beiyu Lin
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