Saved in:
| Main Authors: | Lee, Chung Peng, Hong, Rachel, Jiang, Harry H., Plotnik, Aster, Agnew, William, Morgenstern, Jamie |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.08637 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
by: Hong, Rachel, et al.
Published: (2025)
Measuring Compliance of Consent Revocation on the Web
by: Kancherla, Gayatri Priyadarsini, et al.
Published: (2024)
by: Kancherla, Gayatri Priyadarsini, et al.
Published: (2024)
How To Think About End-To-End Encryption and AI: Training, Processing, Disclosure, and Consent
by: Knodel, Mallory, et al.
Published: (2024)
by: Knodel, Mallory, et al.
Published: (2024)
Data Defenses Against Large Language Models
by: Agnew, William, et al.
Published: (2024)
by: Agnew, William, et al.
Published: (2024)
Comment on "An Efficient Privacy-Preserving Ranked Multi-Keyword Retrieval for Multiple Data Owners in Outsourced Cloud"
by: Varri, Uma Sankararao
Published: (2024)
by: Varri, Uma Sankararao
Published: (2024)
Memory Scraping Attack on Xilinx FPGAs: Private Data Extraction from Terminated Processes
by: Madabhushi, Bharadwaj, et al.
Published: (2024)
by: Madabhushi, Bharadwaj, et al.
Published: (2024)
Beyond BeautifulSoup: Benchmarking LLM-Powered Web Scraping for Everyday Users
by: Bhardwaj, Arth, et al.
Published: (2026)
by: Bhardwaj, Arth, et al.
Published: (2026)
IBAC Mathematics and Mechanics: The Case for 'Integer Based Access Control' of Data Security in the Age of AI and AI Automation
by: Stocks, Mark
Published: (2024)
by: Stocks, Mark
Published: (2024)
Poisoning Web-Scale Training Datasets is Practical
by: Carlini, Nicholas, et al.
Published: (2023)
by: Carlini, Nicholas, et al.
Published: (2023)
On the Reliability of Biometric Datasets: How Much Test Data Ensures Reliability?
by: Fallahi, Matin, et al.
Published: (2025)
by: Fallahi, Matin, et al.
Published: (2025)
N-output Mechanism: Estimating Statistical Information from Numerical Data under Local Differential Privacy
by: Baek, Incheol, et al.
Published: (2025)
by: Baek, Incheol, et al.
Published: (2025)
Who Owns This Agent? Tracing AI Agents Back to Their Owners
by: Chocron, Ruben, et al.
Published: (2026)
by: Chocron, Ruben, et al.
Published: (2026)
OML: A Primitive for Reconciling Open Access with Owner Control in AI Model Distribution
by: Cheng, Zerui, et al.
Published: (2024)
by: Cheng, Zerui, et al.
Published: (2024)
Navigating Cookie Consent Violations Across the Globe
by: Tang, Brian, et al.
Published: (2025)
by: Tang, Brian, et al.
Published: (2025)
Global Web, Local Privacy? An International Review of Web Tracking
by: Yu, Harry, et al.
Published: (2026)
by: Yu, Harry, et al.
Published: (2026)
Breaking the illusion: Automated Reasoning of GDPR Consent Violations
by: Li, Ying, et al.
Published: (2025)
by: Li, Ying, et al.
Published: (2025)
Mellivora Capensis: A Backdoor-Free Training Framework on the Poisoned Dataset without Auxiliary Data
by: Pu, Yuwen, et al.
Published: (2024)
by: Pu, Yuwen, et al.
Published: (2024)
Model-Checking the Implementation of Consent
by: Pardo, Raúl, et al.
Published: (2024)
by: Pardo, Raúl, et al.
Published: (2024)
The Medium is the Message: How Secure Messaging Apps Leak Sensitive Data to Push Notification Services
by: Samarin, Nikita, et al.
Published: (2024)
by: Samarin, Nikita, et al.
Published: (2024)
DECO: Liberating Web Data Using Decentralized Oracles for TLS
by: Zhang, Fan, et al.
Published: (2019)
by: Zhang, Fan, et al.
Published: (2019)
EDEFuzz: A Web API Fuzzer for Excessive Data Exposures
by: Pan, Lianglu, et al.
Published: (2023)
by: Pan, Lianglu, et al.
Published: (2023)
How Much Do Code Language Models Remember? An Investigation on Data Extraction Attacks before and after Fine-tuning
by: Salerno, Fabio, et al.
Published: (2025)
by: Salerno, Fabio, et al.
Published: (2025)
In Search of Lost Data: A Study of Flash Sanitization Practices
by: Schneider, Janine, et al.
Published: (2025)
by: Schneider, Janine, et al.
Published: (2025)
How Do Mobile Applications Enhance Security? An Exploratory Analysis of Use Cases and Provided Information
by: Pekaric, Irdin, et al.
Published: (2025)
by: Pekaric, Irdin, et al.
Published: (2025)
Cybersquatting in Web3: The Case of NFT
by: Ma, Kai, et al.
Published: (2025)
by: Ma, Kai, et al.
Published: (2025)
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable
by: Bertran, Martin, et al.
Published: (2024)
by: Bertran, Martin, et al.
Published: (2024)
Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining
by: Cui, Qi, et al.
Published: (2024)
by: Cui, Qi, et al.
Published: (2024)
AI-Driven Chatbot for Intrusion Detection in Edge Networks: Enhancing Cybersecurity with Ethical User Consent
by: Asif, Mugheez, et al.
Published: (2024)
by: Asif, Mugheez, et al.
Published: (2024)
From Blocking to Breaking: Evaluating the Impact of Adblockers on Web Usability
by: Roongta, Ritik, et al.
Published: (2024)
by: Roongta, Ritik, et al.
Published: (2024)
When the Abyss Looks Back: Unveiling Evolving Dark Patterns in Cookie Consent Banners
by: Singh, Nivedita, et al.
Published: (2026)
by: Singh, Nivedita, et al.
Published: (2026)
Implementing ISO/IEC TS 27560:2023 Consent Records and Receipts for GDPR and DGA
by: Pandit, Harshvardhan J., et al.
Published: (2024)
by: Pandit, Harshvardhan J., et al.
Published: (2024)
An Extended Consent-Based Access Control Framework: Pre-Commit Validation and Emergency Access
by: Muslim, Nasif, et al.
Published: (2026)
by: Muslim, Nasif, et al.
Published: (2026)
Benchmarking Private Population Data Release Mechanisms: Synthetic Data vs. TopDown
by: Maddi, Aadyaa, et al.
Published: (2024)
by: Maddi, Aadyaa, et al.
Published: (2024)
The Dark Side of the Web: Towards Understanding Various Data Sources in Cyber Threat Intelligence
by: Schröer, Saskia Laura, et al.
Published: (2025)
by: Schröer, Saskia Laura, et al.
Published: (2025)
Watermarking Text Data on Large Language Models for Dataset Copyright
by: Liu, Yixin, et al.
Published: (2023)
by: Liu, Yixin, et al.
Published: (2023)
LeakyCLIP: Extracting Training Data from CLIP
by: Chen, Yunhao, et al.
Published: (2025)
by: Chen, Yunhao, et al.
Published: (2025)
Copyright in AI Pre-Training Data Filtering: Regulatory Landscape and Mitigation Strategies
by: Kyrychenko, Mariia, et al.
Published: (2025)
by: Kyrychenko, Mariia, et al.
Published: (2025)
Do Android App Developers Accurately Report Collection of Privacy-Related Data?
by: Khedkar, Mugdha, et al.
Published: (2024)
by: Khedkar, Mugdha, et al.
Published: (2024)
Least Privilege Access for Persistent Storage Mechanisms in Web Browsers
by: Kancherla, Gayatri Priyadarsini, et al.
Published: (2024)
by: Kancherla, Gayatri Priyadarsini, et al.
Published: (2024)
Empowering Patients for Disease Diagnosis and Clinical Treatment: A Smart Contract-Enabled Informed Consent Strategy
by: Amin, Md Al, et al.
Published: (2024)
by: Amin, Md Al, et al.
Published: (2024)
Similar Items
-
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) -
Measuring Compliance of Consent Revocation on the Web
by: Kancherla, Gayatri Priyadarsini, et al.
Published: (2024) -
How To Think About End-To-End Encryption and AI: Training, Processing, Disclosure, and Consent
by: Knodel, Mallory, et al.
Published: (2024) -
Data Defenses Against Large Language Models
by: Agnew, William, et al.
Published: (2024) -
Comment on "An Efficient Privacy-Preserving Ranked Multi-Keyword Retrieval for Multiple Data Owners in Outsourced Cloud"
by: Varri, Uma Sankararao
Published: (2024)