Cover Image

Let's Measure the Elephant in the Room: Facilitating Personalized Automated Analysis of Privacy Policies at Scale

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Rui, Melnychuk, Vladyslav, Zhao, Jun, Wright, Jesse, Shadbolt, Nigel
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Cryptography and Security Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An LLM-enabled semantic-centric framework to consume privacy policies
by: Zhao, Rui, et al.
Published: (2025)

What's Privacy Good for? Measuring Privacy as a Shield from Harms due to Personal Data Use
by: Gajavalli, Sri Harsha, et al.
Published: (2025)

The Privacy Policy Permission Model: A Unified View of Privacy Policies
by: Majedi, Maryam, et al.
Published: (2024)

MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents
by: Chen, Yining, et al.
Published: (2026)

Dual-Technique Privacy & Security Analysis for E-Commerce Websites Through Automated and Manual Implementation
by: Kishnani, Urvashi, et al.
Published: (2024)

Domain-Independent Deception: A New Taxonomy and Linguistic Analysis
by: Verma, Rakesh M., et al.
Published: (2024)

How Susceptible are Large Language Models to Ideological Manipulation?
by: Chen, Kai, et al.
Published: (2024)

Privacy-R1: Privacy-Aware Multi-LLM Agent Collaboration via Reinforcement Learning
by: Hui, Zheng, et al.
Published: (2025)

What to Consider When Considering Differential Privacy for Policy
by: Nanayakkara, Priyanka, et al.
Published: (2024)

Libertas: Privacy-Preserving Collective Computation for Decentralised Personal Data Stores
by: Zhao, Rui, et al.
Published: (2023)

Children's Voice Privacy: First Steps And Emerging Challenges
by: Kulkarni, Ajinkya, et al.
Published: (2025)

No More Trade-Offs. GPT and Fully Informative Privacy Policies
by: Pałka, Przemysław, et al.
Published: (2023)

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

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

PolicyLR: A Logic Representation For Privacy Policies
by: Hooda, Ashish, et al.
Published: (2024)

Evaluating Privacy Measures in Healthcare Apps Predominantly Used by Older Adults
by: Saka, Suleiman, et al.
Published: (2024)

How Well Can LLM Agents Simulate End-User Security and Privacy Attitudes and Behaviors?
by: Li, Yuxuan, et al.
Published: (2026)

Can LLMs Infer Conversational Agent Users' Personality Traits from Chat History?
by: Cögendez, Derya, et al.
Published: (2026)

Analysis of Personal Data Exposure in Thailand
by: Sivakorn, Suphannee, et al.
Published: (2026)

ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression
by: Yao, Kai, et al.
Published: (2024)

mopri - An Analysis Framework for Unveiling Privacy Violations in Mobile Apps
by: Ziepel, Cornell, et al.
Published: (2026)

Personalized Differential Privacy for Ridge Regression
by: Acharya, Krishna, et al.
Published: (2024)

An Investigation into Misuse of Java Security APIs by Large Language Models
by: Mousavi, Zahra, et al.
Published: (2024)

SecureForge: Finding and Preventing Vulnerabilities in LLM-Generated Code via Prompt Optimization
by: Liu, Houjun, et al.
Published: (2026)

Data Defenses Against Large Language Models
by: Agnew, William, et al.
Published: (2024)

ConVerse: Benchmarking Contextual Safety in Agent-to-Agent Conversations
by: Gomaa, Amr, et al.
Published: (2025)

Steering the CensorShip: Uncovering Representation Vectors for LLM "Thought" Control
by: Cyberey, Hannah, et al.
Published: (2025)

Get my drift? Catching LLM Task Drift with Activation Deltas
by: Abdelnabi, Sahar, et al.
Published: (2024)

AI Agents May Always Fall for Prompt Injections
by: Abdelnabi, Sahar, et al.
Published: (2026)

HELENE: An Open-Source High-Security Privacy-Preserving Blockchain Based System for Automating and Managing Laboratory Health Tests
by: Fernández-Blanco, Gabriel, et al.
Published: (2025)

ROK-FORTRESS: Measuring the Effect of Geopolitical Transcreation for National Security and Public Safety
by: Lee, Michael S., et al.
Published: (2026)

Assessing LLM Response Quality in the Context of Technology-Facilitated Abuse
by: Prakash, Vijay, et al.
Published: (2026)

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

Privacy Perceptions and Behaviors of Google Personal Account Holders in Saudi Arabia
by: Alashwali, Eman, et al.
Published: (2023)

MaskSQL: Safeguarding Privacy for LLM-Based Text-to-SQL via Abstraction
by: Abedini, Sepideh, et al.
Published: (2025)

Countering Privacy Nihilism
by: Engelmann, Severin, et al.
Published: (2025)

Privacy by Voice: Modeling Youth Privacy-Protective Behavior in Smart Voice Assistants
by: Campbell, Molly, et al.
Published: (2026)

Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training
by: Borkar, Jaydeep, et al.
Published: (2025)

Expected Harm: Rethinking Safety Evaluation of (Mis)Aligned LLMs
by: Chen, Yen-Shan, et al.
Published: (2026)

A Common Pool of Privacy Problems: Legal and Technical Lessons from a Large-Scale Web-Scraped Machine Learning Dataset
by: Hong, Rachel, et al.
Published: (2025)