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Language Models (LMs) have been shown to leak information about training data through sentence-level membership inference and reconstruction attacks. Understanding the risk of LMs leaking Personally Identifiable Information (PII) has…

机器学习 · 计算机科学 2023-04-25 Nils Lukas , Ahmed Salem , Robert Sim , Shruti Tople , Lukas Wutschitz , Santiago Zanella-Béguelin

Measuring personal disclosures made in human-chatbot interactions can provide a better understanding of users' AI literacy and facilitate privacy research for large language models (LLMs). We run an extensive, fine-grained analysis on the…

计算与语言 · 计算机科学 2024-07-23 Niloofar Mireshghallah , Maria Antoniak , Yash More , Yejin Choi , Golnoosh Farnadi

Generative Language Models (LMs) such as ChatGPT have exhibited remarkable performance across various downstream tasks. Nevertheless, one of their most prominent drawbacks is generating inaccurate or false information with a confident tone.…

计算与语言 · 计算机科学 2024-05-14 Haixia Han , Jiaqing Liang , Jie Shi , Qianyu He , Yanghua Xiao

Language models (LMs) may memorize personally identifiable information (PII) from training data, enabling adversaries to extract it during inference. Existing defense mechanisms such as differential privacy (DP) reduce this leakage, but…

密码学与安全 · 计算机科学 2026-02-27 Anthony Hughes , Vasisht Duddu , N. Asokan , Nikolaos Aletras , Ning Ma

Large Language Models (LLMs) are trained on massive web-crawled corpora. This poses risks of leakage, including personal information, copyrighted texts, and benchmark datasets. Such leakage leads to undermining human trust in AI due to…

计算与语言 · 计算机科学 2024-03-26 Masahiro Kaneko , Timothy Baldwin

Large Language Models (LLMs) like ChatGPT have demonstrated amazing capabilities in comprehending user intents and generate reasonable and useful responses. Beside their ability to chat, their capabilities in various natural language…

计算与语言 · 计算机科学 2026-02-12 Liz Li , Wei Zhu

Detecting personally identifiable information (PII) in user queries is critical for ensuring privacy in question-answering systems. Current approaches mainly redact all PII, disregarding the fact that some of them may be contextually…

密码学与安全 · 计算机科学 2026-02-11 Mariia Ponomarenko , Sepideh Abedini , Masoumeh Shafieinejad , D. B. Emerson , Shubhankar Mohapatra , Xi He

Recent advancements in large language models (LLMs) have led to the development of highly potent models like OpenAI's ChatGPT. These models have exhibited exceptional performance in a variety of tasks, such as question answering, essay…

计算与语言 · 计算机科学 2023-04-12 Ruixiang Tang , Xiaotian Han , Xiaoqian Jiang , Xia Hu

Large language models (LLMs) demonstrate powerful information handling capabilities and are widely integrated into chatbot applications. OpenAI provides a platform for developers to construct custom GPTs, extending ChatGPT's functions and…

密码学与安全 · 计算机科学 2025-06-05 Wei Wenying , Zhao Kaifa , Xue Lei , Fan Ming

Human-like large language models (LLMs), especially the most powerful and popular ones in OpenAI's GPT family, have proven to be very helpful for many natural language processing (NLP) related tasks. Therefore, various attempts have been…

计算与语言 · 计算机科学 2024-09-11 Ridong Han , Chaohao Yang , Tao Peng , Prayag Tiwari , Xiang Wan , Lu Liu , Benyou Wang

Human-like large language models (LLMs), especially the most powerful and popular ones in OpenAI's GPT family, have proven to be very helpful for many natural language processing (NLP) related tasks. Therefore, various attempts have been…

计算与语言 · 计算机科学 2024-09-12 Ridong Han , Chaohao Yang , Tao Peng , Prayag Tiwari , Xiang Wan , Lu Liu , Benyou Wang

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

With the rapid progress of large language models (LLMs), many downstream NLP tasks can be well solved given appropriate prompts. Though model developers and researchers work hard on dialog safety to avoid generating harmful content from…

计算与语言 · 计算机科学 2023-11-02 Haoran Li , Dadi Guo , Wei Fan , Mingshi Xu , Jie Huang , Fanpu Meng , Yangqiu Song

Large Language Models (LLMs) have been reported to "leak" Personally Identifiable Information (PII), with successful PII reconstruction often interpreted as evidence of memorization. We propose a principled revision of memorization…

计算与语言 · 计算机科学 2026-01-08 Xiaoyu Luo , Yiyi Chen , Qiongxiu Li , Johannes Bjerva

Large Language Models (LLMs) excel in various domains but pose inherent privacy risks. Existing methods to evaluate privacy leakage in LLMs often use memorized prefixes or simple instructions to extract data, both of which well-alignment…

密码学与安全 · 计算机科学 2025-05-19 Yidan Wang , Yanan Cao , Yubing Ren , Fang Fang , Zheng Lin , Binxing Fang

Large Language Models (LLMs) such as ChatGPT can infer personal attributes from seemingly innocuous text, raising privacy risks beyond memorized data leakage. While prior work has demonstrated these risks, little is known about how users…

人机交互 · 计算机科学 2025-09-16 Synthia Wang , Sai Teja Peddinti , Nina Taft , Nick Feamster

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

ChatGPT has become a global sensation. As ChatGPT and other Large Language Models (LLMs) emerge, concerns of misusing them in various ways increase, such as disseminating fake news, plagiarism, manipulating public opinion, cheating, and…

机器学习 · 计算机科学 2023-04-06 Alessandro Pegoraro , Kavita Kumari , Hossein Fereidooni , Ahmad-Reza Sadeghi

LLM-based Conversational AIs (CAIs), also known as GenAI chatbots, like ChatGPT, are increasingly used across various domains, but they pose privacy risks, as users may disclose personal information during their conversations with CAIs.…

计算机与社会 · 计算机科学 2026-03-27 Xiao Zhan , Juan Carlos Carrillo , William Seymour , Jose Such

Lab results are often confusing and hard to understand. Large language models (LLMs) such as ChatGPT have opened a promising avenue for patients to get their questions answered. We aim to assess the feasibility of using LLMs to generate…

计算与语言 · 计算机科学 2024-04-23 Zhe He , Balu Bhasuran , Qiao Jin , Shubo Tian , Karim Hanna , Cindy Shavor , Lisbeth Garcia Arguello , Patrick Murray , Zhiyong Lu
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