Cover Image

Text-Based Personas for Simulating User Privacy Decisions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fawaz, Kassem, Yi, Ren, Suciu, Octavian, Khandelwal, Rishabh, Harkous, Hamza, Taft, Nina, Gruteser, Marco
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Personalizing Agent Privacy Decisions via Logical Entailment
by: Flemings, James, et al.
Published: (2025)

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

Prediction with Expert Advice under Local Differential Privacy
by: Jacobsen, Ben, et al.
Published: (2025)

LLM-Powered Analysis of IoT User Reviews: Tracking and Ranking Security and Privacy Concerns
by: Protick, Taufiq Islam, et al.
Published: (2026)

SNPeek: Side-Channel Analysis for Privacy Applications on Confidential VMs
by: Zhang, Ruiyi, et al.
Published: (2025)

SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks
by: Gao, Yue, et al.
Published: (2023)

Private Continual Counting of Unbounded Streams
by: Jacobsen, Ben, et al.
Published: (2025)

WebSP-Eval: Evaluating Web Agents on Website Security and Privacy Tasks
by: Ramesh, Guruprasad Viswanathan, et al.
Published: (2026)

AirGapAgent: Protecting Privacy-Conscious Conversational Agents
by: Bagdasarian, Eugene, et al.
Published: (2024)

Releasing Large-Scale Human Mobility Histograms with Differential Privacy
by: Bian, Christopher, et al.
Published: (2024)

Understanding Help Seeking for Digital Privacy, Safety, and Security
by: Thomas, Kurt, et al.
Published: (2026)

"Impressively Scary:" Exploring User Perceptions and Reactions to Unraveling Machine Learning Models in Social Media Applications
by: West, Jack, et al.
Published: (2025)

Democratizing ML for Enterprise Security: A Self-Sustained Attack Detection Framework
by: Momeni, Sadegh, et al.
Published: (2025)

Securing IoT Communications via Anomaly Traffic Detection: Synergy of Genetic Algorithm and Ensemble Method
by: Seyedi, Behnam, et al.
Published: (2025)

PrivacySIM: Evaluating LLM Simulation of User Privacy Behavior
by: Flemings, James, et al.
Published: (2026)

Privacy Challenges In Image Processing Applications
by: Maneesha, et al.
Published: (2025)

PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails
by: Mangaokar, Neal, et al.
Published: (2024)

Privacy-Enhanced Adaptive Authentication: User Profiling with Privacy Guarantees
by: Baseri, Yaser, et al.
Published: (2024)

Deep Learning for Resilient Adversarial Decision Fusion in Byzantine Networks
by: Kallas, Kassem
Published: (2024)

Challenges and Future Directions in Agentic Reverse Engineering Systems
by: Radey, Salem, et al.
Published: (2026)

Protecting Persona Biometric Data: The Case of Facial Privacy
by: Hogenhout, Lambert, et al.
Published: (2025)

Undetectable Backdoors in Model Parameters: Hiding Sparse Secrets in High Dimensions
by: Choudhary, Sarthak, et al.
Published: (2026)

$d_X$-Privacy for Text and the Curse of Dimensionality
by: Asghar, Hassan Jameel, et al.
Published: (2024)

Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation
by: Zhang, Jiankun, et al.
Published: (2025)

Protecting User Prompts Via Character-Level Differential Privacy
by: Arachchige, Shashie Dilhara Batan, et al.
Published: (2026)

Guaranteeing Data Privacy in Federated Unlearning with Dynamic User Participation
by: Liu, Ziyao, et al.
Published: (2024)

FedMUP: Federated Learning driven Malicious User Prediction Model for Secure Data Distribution in Cloud Environments
by: Gupta, Kishu, et al.
Published: (2024)

LoRA-Key: User-Centric LoRA Watermarking for Text-to-Image Diffusion Models
by: Wang, Yaopeng, et al.
Published: (2026)

What Really is a Member? Discrediting Membership Inference via Poisoning
by: Mangaokar, Neal, et al.
Published: (2025)

Adaptive Privacy Budgeting
by: Liang, Yuting, et al.
Published: (2026)

OnePath: Efficient and Privacy-Preserving Decision Tree Inference in the Cloud
by: Yuan, Shuai, et al.
Published: (2024)

GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference
by: Wang, Qifan, et al.
Published: (2023)

Metric Differential Privacy at the User-Level Via the Earth Mover's Distance
by: Imola, Jacob, et al.
Published: (2024)

DNS in the Time of Curiosity: A Tale of Collaborative User Privacy Protection
by: Sjösvärd, Philip, et al.
Published: (2025)

User-Controlled Privacy-Preserving User Profile Data Sharing based on Blockchain
by: Shrestha, Ajay Kumar, et al.
Published: (2019)

Exposing LLM User Privacy via Traffic Fingerprint Analysis: A Study of Privacy Risks in LLM Agent Interactions
by: Zhang, Yixiang, et al.
Published: (2025)

Smooth Sensitivity for Geo-Privacy
by: Liang, Yuting, et al.
Published: (2024)

PersonaFingerprint: Measuring Persona Inference on Modern Websites with LLM-Driven Browsing
by: Song, Chuxu, et al.
Published: (2026)

PriveShield: Enhancing User Privacy Using Automatic Isolated Profiles in Browsers
by: Akhavani, Seyed Ali, et al.
Published: (2025)

Toward provably private analytics and insights into GenAI use
by: Cheu, Albert, et al.
Published: (2025)