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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…

Cryptography and Security · Computer Science 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…

Cryptography and Security · Computer Science 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…

Human-Computer Interaction · Computer Science 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…

Human-Computer Interaction · Computer Science 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…

Cryptography and Security · Computer Science 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…

Computation and Language · Computer Science 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…

Cryptography and Security · Computer Science 2025-02-11 Michele Miranda , Elena Sofia Ruzzetti , Andrea Santilli , Fabio Massimo Zanzotto , Sébastien Bratières , Emanuele Rodolà

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…

Computation and Language · Computer Science 2025-02-17 Yang Liu , Xichou Zhu , Zhou Shen , Yi Liu , Min Li , Yujun Chen , Benzi John , Zhenzhen Ma , Tao Hu , Zhi Li , Bolong Yang , Manman Wang , Zongxing Xie , Peng Liu , Dan Cai , Junhui Wang

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…

Computation and Language · Computer Science 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…

Cryptography and Security · Computer Science 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,…

Cryptography and Security · Computer Science 2024-09-09 Qinbin Li , Junyuan Hong , Chulin Xie , Jeffrey Tan , Rachel Xin , Junyi Hou , Xavier Yin , Zhun Wang , Dan Hendrycks , Zhangyang Wang , Bo Li , Bingsheng He , Dawn Song

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…

Computation and Language · Computer Science 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…

Computation and Language · Computer Science 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…

Cryptography and Security · Computer Science 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…

Cryptography and Security · Computer Science 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…

Computation and Language · Computer Science 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…

Cryptography and Security · Computer Science 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…

Cryptography and Security · Computer Science 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…

Human-Computer Interaction · Computer Science 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…

Cryptography and Security · Computer Science 2025-05-13 Haowei Yang , Qingyi Lu , Yang Wang , Sibei Liu , Jiayun Zheng , Ao Xiang
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