Cover Image

Measuring Physical-World Privacy Awareness of Large Language Models: An Evaluation Benchmark

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shen, Xinjie, Li, Mufei, Li, Pan
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

How Far Are VLMs from Privacy Awareness in the Physical World? An Empirical Study
by: Wang, Junran, et al.
Published: (2026)

PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action
by: Shao, Yijia, et al.
Published: (2024)

PRISM-XR: Empowering Privacy-Aware XR Collaboration with Multimodal Large Language Models
by: Chen, Jiangong, et al.
Published: (2026)

PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration
by: Zeng, Ziqian, et al.
Published: (2024)

A Longitudinal Measurement of Privacy Policy Evolution for Large Language Models
by: Tao, Zhen, et al.
Published: (2025)

A Survey: Towards Privacy and Security in Mobile Large Language Models
by: Xu, Honghui, et al.
Published: (2025)

LLM-PBE: Assessing Data Privacy in Large Language Models
by: Li, Qinbin, et al.
Published: (2024)

SoK: Semantic Privacy in Large Language Models
by: Ma, Baihe, et al.
Published: (2025)

Multi-PA: A Multi-perspective Benchmark on Privacy Assessment for Large Vision-Language Models
by: Zhang, Jie, et al.
Published: (2024)

Beyond Data Privacy: New Privacy Risks for Large Language Models
by: Du, Yuntao, et al.
Published: (2025)

Invariant-based Robust Weights Watermark for Large Language Models
by: Guo, Qingxiao, et al.
Published: (2025)

Safety Layers in Aligned Large Language Models: The Key to LLM Security
by: Li, Shen, et al.
Published: (2024)

USB: A Comprehensive and Unified Safety Evaluation Benchmark for Multimodal Large Language Models
by: Zheng, Baolin, et al.
Published: (2025)

DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models
by: Xu, Honghui, et al.
Published: (2025)

From Texts to Shields: Convergence of Large Language Models and Cybersecurity
by: Li, Tao, et al.
Published: (2025)

SoK: Evaluating Jailbreak Guardrails for Large Language Models
by: Wang, Xunguang, et al.
Published: (2025)

Privacy-Preserving Large Language Models: Mechanisms, Applications, and Future Directions
by: Zhao, Guoshenghui, et al.
Published: (2024)

User Behavior Analysis in Privacy Protection with Large Language Models: A Study on Privacy Preferences with Limited Data
by: Yang, Haowei, et al.
Published: (2025)

TrafficLLM: Enhancing Large Language Models for Network Traffic Analysis with Generic Traffic Representation
by: Cui, Tianyu, et al.
Published: (2025)

DFIR-Metric: A Benchmark Dataset for Evaluating Large Language Models in Digital Forensics and Incident Response
by: Cherif, Bilel, et al.
Published: (2025)

LADFA: A Framework of Using Large Language Models and Retrieval-Augmented Generation for Personal Data Flow Analysis in Privacy Policies
by: Yuan, Haiyue, et al.
Published: (2026)

RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis
by: Wang, Jianwei, et al.
Published: (2025)

Good News for Script Kiddies? Evaluating Large Language Models for Automated Exploit Generation
by: Jin, David, et al.
Published: (2025)

SAID: Safety-Aware Intent Defense via Prefix Probing for Large Language Models
by: Chen, Yulong, et al.
Published: (2025)

CEFW: A Comprehensive Evaluation Framework for Watermark in Large Language Models
by: Zhang, Shuhao, et al.
Published: (2025)

Towards Privacy-Preserving and Personalized Smart Homes via Tailored Small Language Models
by: Huang, Xinyu, et al.
Published: (2025)

A Survey on Data Security in Large Language Models
by: Chen, Kang, et al.
Published: (2025)

Behind the Mask: Benchmarking Camouflaged Jailbreaks in Large Language Models
by: Zheng, Youjia, et al.
Published: (2025)

Casper: Prompt Sanitization for Protecting User Privacy in Web-Based Large Language Models
by: Chong, Chun Jie, et al.
Published: (2024)

A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly
by: Yao, Yifan, et al.
Published: (2023)

Privacy Auditing of Large Language Models
by: Panda, Ashwinee, et al.
Published: (2025)

One Turn Too Late: Response-Aware Defense Against Hidden Malicious Intent in Multi-Turn Dialogue
by: Shen, Xinjie, et al.
Published: (2026)

Payload-Aware Intrusion Detection with CMAE and Large Language Models
by: Kim, Yongcheol, et al.
Published: (2025)

Membership Privacy Evaluation in Deep Spiking Neural Networks
by: Li, Jiaxin, et al.
Published: (2024)

Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage
by: Shao, Hanyin, et al.
Published: (2023)

Retrieval-Confused Generation is a Good Defender for Privacy Violation Attack of Large Language Models
by: Peng, Wanli, et al.
Published: (2025)

Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation
by: Yoon, Jeongho, et al.
Published: (2026)

Data-Free Privacy-Preserving for LLMs via Model Inversion and Selective Unlearning
by: Zhou, Xinjie, et al.
Published: (2026)

Evaluating Adversarial Vulnerabilities in Modern Large Language Models
by: Perel, Tom
Published: (2025)

Evaluation of Prompt Injection Defenses in Large Language Models
by: Deep, Priyal, et al.
Published: (2026)