Image de couverture de livre

How Do Data Owners Say No? A Case Study of Data Consent Mechanisms in Web-Scraped Vision-Language AI Training Datasets

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lee, Chung Peng, Hong, Rachel, Jiang, Harry H., Plotnik, Aster, Agnew, William, Morgenstern, Jamie
Format:	Preprint
Publié:	2025
Sujets:	Computers and Society Artificial Intelligence Cryptography and Security
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

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

Measuring Compliance of Consent Revocation on the Web
par: Kancherla, Gayatri Priyadarsini, et autres
Publié: (2024)

How To Think About End-To-End Encryption and AI: Training, Processing, Disclosure, and Consent
par: Knodel, Mallory, et autres
Publié: (2024)

Comment on "An Efficient Privacy-Preserving Ranked Multi-Keyword Retrieval for Multiple Data Owners in Outsourced Cloud"
par: Varri, Uma Sankararao
Publié: (2024)

Data Defenses Against Large Language Models
par: Agnew, William, et autres
Publié: (2024)

Memory Scraping Attack on Xilinx FPGAs: Private Data Extraction from Terminated Processes
par: Madabhushi, Bharadwaj, et autres
Publié: (2024)

IBAC Mathematics and Mechanics: The Case for 'Integer Based Access Control' of Data Security in the Age of AI and AI Automation
par: Stocks, Mark
Publié: (2024)

On the Reliability of Biometric Datasets: How Much Test Data Ensures Reliability?
par: Fallahi, Matin, et autres
Publié: (2025)

Beyond BeautifulSoup: Benchmarking LLM-Powered Web Scraping for Everyday Users
par: Bhardwaj, Arth, et autres
Publié: (2026)

N-output Mechanism: Estimating Statistical Information from Numerical Data under Local Differential Privacy
par: Baek, Incheol, et autres
Publié: (2025)

Poisoning Web-Scale Training Datasets is Practical
par: Carlini, Nicholas, et autres
Publié: (2023)

OML: A Primitive for Reconciling Open Access with Owner Control in AI Model Distribution
par: Cheng, Zerui, et autres
Publié: (2024)

Navigating Cookie Consent Violations Across the Globe
par: Tang, Brian, et autres
Publié: (2025)

Mellivora Capensis: A Backdoor-Free Training Framework on the Poisoned Dataset without Auxiliary Data
par: Pu, Yuwen, et autres
Publié: (2024)

Who Owns This Agent? Tracing AI Agents Back to Their Owners
par: Chocron, Ruben, et autres
Publié: (2026)

Breaking the illusion: Automated Reasoning of GDPR Consent Violations
par: Li, Ying, et autres
Publié: (2025)

How Much Do Code Language Models Remember? An Investigation on Data Extraction Attacks before and after Fine-tuning
par: Salerno, Fabio, et autres
Publié: (2025)

DECO: Liberating Web Data Using Decentralized Oracles for TLS
par: Zhang, Fan, et autres
Publié: (2019)

EDEFuzz: A Web API Fuzzer for Excessive Data Exposures
par: Pan, Lianglu, et autres
Publié: (2023)

The Medium is the Message: How Secure Messaging Apps Leak Sensitive Data to Push Notification Services
par: Samarin, Nikita, et autres
Publié: (2024)

Global Web, Local Privacy? An International Review of Web Tracking
par: Yu, Harry, et autres
Publié: (2026)

Model-Checking the Implementation of Consent
par: Pardo, Raúl, et autres
Publié: (2024)

How Do Mobile Applications Enhance Security? An Exploratory Analysis of Use Cases and Provided Information
par: Pekaric, Irdin, et autres
Publié: (2025)

In Search of Lost Data: A Study of Flash Sanitization Practices
par: Schneider, Janine, et autres
Publié: (2025)

Cybersquatting in Web3: The Case of NFT
par: Ma, Kai, et autres
Publié: (2025)

Benchmarking Private Population Data Release Mechanisms: Synthetic Data vs. TopDown
par: Maddi, Aadyaa, et autres
Publié: (2024)

Watermarking Text Data on Large Language Models for Dataset Copyright
par: Liu, Yixin, et autres
Publié: (2023)

LeakyCLIP: Extracting Training Data from CLIP
par: Chen, Yunhao, et autres
Publié: (2025)

When the Abyss Looks Back: Unveiling Evolving Dark Patterns in Cookie Consent Banners
par: Singh, Nivedita, et autres
Publié: (2026)

Implementing ISO/IEC TS 27560:2023 Consent Records and Receipts for GDPR and DGA
par: Pandit, Harshvardhan J., et autres
Publié: (2024)

An Extended Consent-Based Access Control Framework: Pre-Commit Validation and Emergency Access
par: Muslim, Nasif, et autres
Publié: (2026)

From Blocking to Breaking: Evaluating the Impact of Adblockers on Web Usability
par: Roongta, Ritik, et autres
Publié: (2024)

The Dark Side of the Web: Towards Understanding Various Data Sources in Cyber Threat Intelligence
par: Schröer, Saskia Laura, et autres
Publié: (2025)

AI-Driven Chatbot for Intrusion Detection in Edge Networks: Enhancing Cybersecurity with Ethical User Consent
par: Asif, Mugheez, et autres
Publié: (2024)

Do Android App Developers Accurately Report Collection of Privacy-Related Data?
par: Khedkar, Mugdha, et autres
Publié: (2024)

Dye4AI: Assuring Data Boundary on Generative AI Services
par: Wang, Shu, et autres
Publié: (2024)

Hijacking Attacks against Neural Networks by Analyzing Training Data
par: Ge, Yunjie, et autres
Publié: (2024)

Least Privilege Access for Persistent Storage Mechanisms in Web Browsers
par: Kancherla, Gayatri Priyadarsini, et autres
Publié: (2024)

Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining
par: Cui, Qi, et autres
Publié: (2024)

Copyright in AI Pre-Training Data Filtering: Regulatory Landscape and Mitigation Strategies
par: Kyrychenko, Mariia, et autres
Publié: (2025)