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Ask ChatGPT about vacation planning, and it may infer your income. Ask it about medication, and it may infer your medical history. Because such inferences can expose more information than users intend to reveal, prior work argues that they…

Current privacy research on large language models (LLMs) primarily focuses on the issue of extracting memorized training data. At the same time, models' inference capabilities have increased drastically. This raises the key question of…

人工智能 · 计算机科学 2024-05-07 Robin Staab , Mark Vero , Mislav Balunović , Martin Vechev

LLM-powered chatbots are becoming widely adopted in applications such as healthcare, personal assistants, industry hiring decisions, etc. In many of these cases, chatbots are fed sensitive, personal information in their prompts, as samples…

计算与语言 · 计算机科学 2023-05-25 Aman Priyanshu , Supriti Vijay , Ayush Kumar , Rakshit Naidu , Fatemehsadat Mireshghallah

Human-LLM conversations are increasingly becoming more pervasive in peoples' professional and personal lives, yet many users still struggle to elicit helpful responses from LLM Chatbots. One of the reasons for this issue is users' lack of…

Large Language Models (LLMs) like ChatGPT are now widely used in writing and reviewing scientific papers. While this trend accelerates publication growth and reduces human workload, it also introduces serious risks. Papers written or…

The recent popularity of large language models (LLMs) has brought a significant impact to boundless fields, particularly through their open-ended ecosystem such as the APIs, open-sourced models, and plugins. However, with their widespread…

机器学习 · 计算机科学 2023-08-31 Wentao Ye , Mingfeng Ou , Tianyi Li , Yipeng chen , Xuetao Ma , Yifan Yanggong , Sai Wu , Jie Fu , Gang Chen , Haobo Wang , Junbo Zhao

Fine-tuning is a common and effective method for tailoring large language models (LLMs) to specialized tasks and applications. In this paper, we study the privacy implications of fine-tuning LLMs on user data. To this end, we consider a…

密码学与安全 · 计算机科学 2024-02-27 Nikhil Kandpal , Krishna Pillutla , Alina Oprea , Peter Kairouz , Christopher A. Choquette-Choo , Zheng Xu

This study investigates the capacity of Large Language Models (LLMs) to infer the Big Five personality traits from free-form user interactions. The results demonstrate that a chatbot powered by GPT-4 can infer personality with moderate…

人机交互 · 计算机科学 2024-05-24 Heinrich Peters , Moran Cerf , Sandra C. Matz

Users seek security & privacy (S&P) advice from online resources, including trusted websites and content-sharing platforms. These resources help users understand S&P technologies and tools and suggest actionable strategies. Large Language…

人机交互 · 计算机科学 2023-10-05 Yufan Chen , Arjun Arunasalam , Z. Berkay Celik

Recently, powerful Large Language Models (LLMs) have become easily accessible to hundreds of millions of users world-wide. However, their strong capabilities and vast world knowledge do not come without associated privacy risks. In this…

机器学习 · 计算机科学 2024-11-05 Hanna Yukhymenko , Robin Staab , Mark Vero , Martin Vechev

Large Language Models (LLMs) such as ChatGPT and its competitors have caused a revolution in natural language processing, but their capabilities also introduce new security vulnerabilities. This survey provides a comprehensive overview of…

密码学与安全 · 计算机科学 2025-08-26 Miles Q. Li , Benjamin C. M. Fung

As large language models (LLMs) advance and become widespread, students increasingly turn to systems like ChatGPT for assistance with writing tasks. Educators are concerned with students' usage of ChatGPT beyond cheating; using ChatGPT may…

人机交互 · 计算机科学 2026-04-23 Andrew Jelson , Daniel Manesh , Alice Jang , Daniel Dunlap , Young-Ho Kim , Sang Won Lee

The use of ChatGPT and similar Large Language Model (LLM) tools in scholarly communication and academic publishing has been widely discussed since they became easily accessible to a general audience in late 2022. This study uses keywords…

数字图书馆 · 计算机科学 2024-03-26 Andrew Gray

Hundreds of millions of users now hold detailed, multi-turn conversations with ChatGPT and similar LLM assistants. We measure two privacy-relevant features of these conversations on a corpus of complete ChatGPT histories donated by over…

计算机与社会 · 计算机科学 2026-05-25 S M Mehedi Zaman , Kiran Garimella

Large Language Models (LLMs) demonstrate increasingly human-like abilities across a wide variety of tasks. In this paper, we investigate whether LLMs like ChatGPT can accurately infer the psychological dispositions of social media users and…

计算与语言 · 计算机科学 2024-06-06 Heinrich Peters , Sandra Matz

Recent advancements in Large Language Models (LLMs), such as ChatGPT and LLaMA, have significantly transformed Natural Language Processing (NLP) with their outstanding abilities in text generation, summarization, and classification.…

计算与语言 · 计算机科学 2024-08-12 Md Nazmus Sakib , Md Athikul Islam , Royal Pathak , Md Mashrur Arifin

While Large Language Models (LLMs) are rapidly integrating into daily life, research on their risks often remains lab-based and disconnected from the problems users encounter "in the wild." While recent HCI research has begun to explore…

计算机与社会 · 计算机科学 2025-09-12 Lingyao Li , Renkai Ma , Zhaoqian Xue , Junjie Xiong

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 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, exhibit advanced capabilities in generating text, images, and videos. However, their effective use remains constrained by challenges in prompt formulation, personalization, and opaque…

人机交互 · 计算机科学 2025-03-04 Si Thu , A. Baki Kocaballi
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