Copertina

A Longitudinal Measurement of Privacy Policy Evolution for Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Tao, Zhen, Pan, Shidong, Xing, Zhenchang, Black, Emily, Gillis, Talia, Chen, Chunyang
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Cryptography and Security Artificial Intelligence Computers and Society
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

User Privacy and Large Language Models: An Analysis of Frontier Developers' Privacy Policies
di: King, Jennifer, et al.
Pubblicazione: (2025)

Towards Context-aware Mobile Privacy Notice: Implementation of A Deployable Contextual Privacy Policies Generator
di: Gong, Haochen, et al.
Pubblicazione: (2025)

Measuring Physical-World Privacy Awareness of Large Language Models: An Evaluation Benchmark
di: Shen, Xinjie, et al.
Pubblicazione: (2025)

Auditing Pay-Per-Token in Large Language Models
di: Velasco, Ander Artola, et al.
Pubblicazione: (2025)

Attacks on Third-Party APIs of Large Language Models
di: Zhao, Wanru, et al.
Pubblicazione: (2024)

Playing Devil's Advocate: Unmasking Toxicity and Vulnerabilities in Large Vision-Language Models
di: Erol, Abdulkadir, et al.
Pubblicazione: (2025)

Guardrails for trust, safety, and ethical development and deployment of Large Language Models (LLM)
di: Biswas, Anjanava, et al.
Pubblicazione: (2026)

Privacy Bills of Materials: A Transparent Privacy Information Inventory for Collaborative Privacy Notice Generation in Mobile App Development
di: Tao, Zhen, et al.
Pubblicazione: (2025)

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

Synthetic Data and Health Privacy
di: Abgrall, Gwénolé, et al.
Pubblicazione: (2025)

A Proposal for Evaluating the Operational Risk for ChatBots based on Large Language Models
di: Pinacho-Davidson, Pedro, et al.
Pubblicazione: (2025)

DSSmoothing: Toward Certified Dataset Ownership Verification for Pre-trained Language Models via Dual-Space Smoothing
di: Qiao, Ting, et al.
Pubblicazione: (2025)

BEACON: A Unified Behavioral-Tactical Framework for Explainable Cybercrime Analysis with Large Language Models
di: Sachdeva, Arush, et al.
Pubblicazione: (2025)

Mobile GUI Agent Privacy Personalization with Trajectory Induced Preference Optimization
di: Lin, Zhixin, et al.
Pubblicazione: (2026)

PrivComp-KG : Leveraging Knowledge Graph and Large Language Models for Privacy Policy Compliance Verification
di: Garza, Leon, et al.
Pubblicazione: (2024)

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

Optimal Allocation of Privacy Budget on Hierarchical Data Release
di: Ko, Joonhyuk, et al.
Pubblicazione: (2025)

A Solution toward Transparent and Practical AI Regulation: Privacy Nutrition Labels for Open-source Generative AI-based Applications
di: Si, Meixue, et al.
Pubblicazione: (2024)

Privacy Bias in Language Models: A Contextual Integrity-based Auditing Metric
di: Shvartzshnaider, Yan, et al.
Pubblicazione: (2024)

Enabling External Scrutiny of AI Systems with Privacy-Enhancing Technologies
di: Beers, Kendrea, et al.
Pubblicazione: (2025)

Fingerprinting and Tracing Shadows: The Development and Impact of Browser Fingerprinting on Digital Privacy
di: Lawall, Alexander
Pubblicazione: (2024)

Synthetic Data, Similarity-based Privacy Metrics, and Regulatory (Non-)Compliance
di: Ganev, Georgi
Pubblicazione: (2024)

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

Negotiating Privacy with Smart Voice Assistants: Risk-Benefit and Control-Acceptance Tensions
di: Campbell, Molly, et al.
Pubblicazione: (2026)

Watermarking Discrete Diffusion Language Models
di: Bagchi, Avi, et al.
Pubblicazione: (2025)

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

{A New Hope}: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation
di: Pan, Shidong, et al.
Pubblicazione: (2024)

Covert Surveillance in Smart Devices: A SCOUR Framework Analysis of Youth Privacy Implications
di: Shouli, Austin, et al.
Pubblicazione: (2025)

A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures
di: Nguyen, Thanh Tam, et al.
Pubblicazione: (2024)

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

Securing the Future of GenAI: Policy and Technology
di: Christodorescu, Mihai, et al.
Pubblicazione: (2024)

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

Gender-Based Heterogeneity in Youth Privacy-Protective Behavior for Smart Voice Assistants: Evidence from Multigroup PLS-SEM
di: Campbell, Molly, et al.
Pubblicazione: (2026)

Combatting deepfakes: Policies to address national security threats and rights violations
di: Miotti, Andrea, et al.
Pubblicazione: (2024)

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

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

Love, Lies, and Language Models: Investigating AI's Role in Romance-Baiting Scams
di: Gressel, Gilad, et al.
Pubblicazione: (2025)

Phare: A Safety Probe for Large Language Models
di: Jeune, Pierre Le, et al.
Pubblicazione: (2025)

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

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