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相关论文: A Longitudinal Measurement of Privacy Policy Evolu…

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The rapid advancement of large language models (LLMs) has revolutionized natural language processing, enabling applications in diverse domains such as healthcare, finance and education. However, the growing reliance on extensive data for…

密码学与安全 · 计算机科学 2024-12-10 Guoshenghui Zhao , Eric Song

Large language models (LLMs) are complex artificial intelligence systems capable of understanding, generating and translating human language. They learn language patterns by analyzing large amounts of text data, allowing them to perform…

密码学与安全 · 计算机科学 2024-03-15 Biwei Yan , Kun Li , Minghui Xu , Yueyan Dong , Yue Zhang , Zhaochun Ren , Xiuzhen Cheng

Large language models (LLMs) are increasingly integrated into daily life through conversational interfaces, processing user data via natural language inputs and exhibiting advanced reasoning capabilities, which raises new concerns about…

人机交互 · 计算机科学 2026-02-12 Zhuoyang Li , Yanlai Wu , Yao Li , Xinning Gui , Yuhan Luo

Protecting online privacy requires users to engage with and comprehend website privacy policies, but many policies are difficult and tedious to read. We present the first qualitative user study on Large Language Model (LLM)-driven privacy…

人机交互 · 计算机科学 2025-03-06 Vincent Freiberger , Arthur Fleig , Erik Buchmann

Although Large Language Models (LLMs) have become increasingly integral to diverse applications, their capabilities raise significant privacy concerns. This survey offers a comprehensive overview of privacy risks associated with LLMs and…

密码学与安全 · 计算机科学 2025-05-06 Kang Chen , Xiuze Zhou , Yuanguo Lin , Shibo Feng , Li Shen , Pengcheng Wu

The number and dynamic nature of web and mobile applications presents significant challenges for assessing their compliance with data protection laws. In this context, symbolic and statistical Natural Language Processing (NLP) techniques…

计算与语言 · 计算机科学 2025-12-22 David Rodriguez , Ian Yang , Jose M. Del Alamo , Norman Sadeh

Large Language Models (LLMs) represent a significant advancement in artificial intelligence, finding applications across various domains. However, their reliance on massive internet-sourced datasets for training brings notable privacy…

The recent advances in large language models (LLMs) have significantly expanded their applications across various fields such as language generation, summarization, and complex question answering. However, their application to privacy…

Large Language Models (LLMs) have demonstrated extraordinary capabilities and contributed to multiple fields, such as generating and summarizing text, language translation, and question-answering. Nowadays, LLM is becoming a very popular…

计算与语言 · 计算机科学 2024-11-18 Badhan Chandra Das , M. Hadi Amini , Yanzhao Wu

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

Large Language Models (LLMs) have become integral to numerous domains, significantly advancing applications in data management, mining, and analysis. Their profound capabilities in processing and interpreting complex language data, however,…

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 pipelines. On the one hand, powerful language models, trained on…

计算与语言 · 计算机科学 2024-10-01 Haoran Li , Yulin Chen , Jinglong Luo , Jiecong Wang , Hao Peng , Yan Kang , Xiaojin Zhang , Qi Hu , Chunkit Chan , Zenglin Xu , Bryan Hooi , Yangqiu Song

Privacy policies serve as the primary conduit through which online service providers inform users about their data collection and usage procedures. However, in a bid to be comprehensive and mitigate legal risks, these policy documents are…

计算与语言 · 计算机科学 2023-09-20 Chenhao Tang , Zhengliang Liu , Chong Ma , Zihao Wu , Yiwei Li , Wei Liu , Dajiang Zhu , Quanzheng Li , Xiang Li , Tianming Liu , Lei Fan

Inspired by the rapid development of Large Language Models (LLMs), LLM agents have evolved to perform complex tasks. LLM agents are now extensively applied across various domains, handling vast amounts of data to interact with humans and…

密码学与安全 · 计算机科学 2025-11-04 Feng He , Tianqing Zhu , Dayong Ye , Bo Liu , Wanlei Zhou , Philip S. Yu

Large Language Models (LLMs) have achieved remarkable progress in natural language understanding, reasoning, and autonomous decision-making. However, these advancements have also come with significant privacy concerns. While significant…

密码学与安全 · 计算机科学 2026-01-27 Yuntao Du , Zitao Li , Ninghui Li , Bolin Ding

Users interacting with large language models (LLMs) under their real identifiers often unknowingly risk disclosing private information. Automatically notifying users whether their queries leak privacy and which phrases leak what private…

计算与语言 · 计算机科学 2025-08-11 Hang Zeng , Xiangyu Liu , Yong Hu , Chaoyue Niu , Fan Wu , Shaojie Tang , Guihai Chen

Mobile Large Language Models (LLMs) are revolutionizing diverse fields such as healthcare, finance, and education with their ability to perform advanced natural language processing tasks on-the-go. However, the deployment of these models in…

密码学与安全 · 计算机科学 2025-09-03 Honghui Xu , Kaiyang Li , Wei Chen , Danyang Zheng , Zhiyuan Li , Zhipeng Cai

With the rapid development of artificial intelligence, large language models (LLMs) have made remarkable advancements in natural language processing. These models are trained on vast datasets to exhibit powerful language understanding and…

密码学与安全 · 计算机科学 2025-09-22 Shang Wang , Tianqing Zhu , Bo Liu , Ming Ding , Dayong Ye , Wanlei Zhou , Philip S. Yu

This paper presents a novel application of large language models (LLMs) to enhance user comprehension of privacy policies through an interactive dialogue agent. We demonstrate that LLMs significantly outperform traditional models in tasks…

人机交互 · 计算机科学 2024-10-17 Bolun Sun , Yifan Zhou , Haiyun Jiang

With the widespread application of large language models (LLMs), user privacy protection has become a significant research topic. Existing privacy preference modeling methods often rely on large-scale user data, making effective privacy…

密码学与安全 · 计算机科学 2025-05-13 Haowei Yang , Qingyi Lu , Yang Wang , Sibei Liu , Jiayun Zheng , Ao Xiang
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