Cover Image

Empowering Users in Digital Privacy Management through Interactive LLM-Based Agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sun, Bolun, Zhou, Yifan, Jiang, Haiyun
Format:	Preprint
Published:	2024
Subjects:	Human-Computer Interaction Artificial Intelligence Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rescriber: Smaller-LLM-Powered User-Led Data Minimization for LLM-Based Chatbots
by: Zhou, Jijie, et al.
Published: (2024)

Autonomy Reshapes How Personalization Affects Privacy Concerns and Trust in LLM Agents
by: Zhang, Zhiping, et al.
Published: (2025)

"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents
by: Zhang, Zhiping, et al.
Published: (2023)

Privacy Leakage Overshadowed by Views of AI: A Study on Human Oversight of Privacy in Language Model Agent
by: Zhang, Zhiping, et al.
Published: (2024)

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents
by: Wu, Liangxuan, et al.
Published: (2025)

Malicious LLM-Based Conversational AI Makes Users Reveal Personal Information
by: Zhan, Xiao, et al.
Published: (2025)

PrivateXR: Defending Privacy Attacks in Extended Reality Through Explainable AI-Guided Differential Privacy
by: Kundu, Ripan Kumar, et al.
Published: (2025)

What Security and Privacy Transparency Users Need from Consumer-Facing Generative AI
by: Cao, Jiaxun, et al.
Published: (2026)

Learned, Lagged, LLM-splained: LLM Responses to End User Security Questions
by: Prakash, Vijay, et al.
Published: (2024)

Human-Centered Privacy Research in the Age of Large Language Models
by: Li, Tianshi, et al.
Published: (2024)

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

Cyri: A Conversational AI-based Assistant for Supporting the Human User in Detecting and Responding to Phishing Attacks
by: La Torre, Antonio, et al.
Published: (2025)

Towards Secure AI-driven Industrial Metaverse with NFT Digital Twins
by: Prakash, Ravi, et al.
Published: (2024)

PrivacyAssist: A User-Centric Agent Framework for Detecting Privacy Inconsistencies in Android Apps
by: Nguyen, Tran Thanh Lam, et al.
Published: (2026)

Current state of LLM Risks and AI Guardrails
by: Ayyamperumal, Suriya Ganesh, et al.
Published: (2024)

Multiverse Privacy Theory for Contextual Risks in Complex User-AI Interactions
by: Gumusel, Ece
Published: (2025)

Exploring User Security and Privacy Attitudes and Concerns Toward the Use of General-Purpose LLM Chatbots for Mental Health
by: Kwesi, Jabari, et al.
Published: (2025)

Play Guessing Game with LLM: Indirect Jailbreak Attack with Implicit Clues
by: Chang, Zhiyuan, et al.
Published: (2024)

A Human-Centered Privacy Approach (HCP) to AI
by: Sun, Luyi, et al.
Published: (2026)

On the Suitability of LLM-Driven Agents for Dark Pattern Audits
by: Sun, Chen, et al.
Published: (2026)

Privacy-Preserving Gaze Data Streaming in Immersive Interactive Virtual Reality: Robustness and User Experience
by: Wilson, Ethan, et al.
Published: (2024)

Gaze3P: Gaze-Based Prediction of User-Perceived Privacy
by: Elfares, Mayar, et al.
Published: (2025)

Known By Their Actions: Fingerprinting LLM Browser Agents via UI Traces
by: Lugoloobi, William, et al.
Published: (2026)

Listen to the Voices of Everyday Users: Democratizing Privacy Ratings for Sensitive Data Access in Mobile Apps
by: Wang, Liu, et al.
Published: (2026)

Understanding User Privacy Perceptions of GenAI Smartphones
by: Jin, Ran, et al.
Published: (2026)

Device-Native Autonomous Agents for Privacy-Preserving Negotiations
by: Roy, Joyjit, et al.
Published: (2026)

Privacy is All You Need: Revolutionizing Wearable Health Data with Advanced PETs
by: Barma, Karthik
Published: (2025)

LLM Whisperer: An Inconspicuous Attack to Bias LLM Responses
by: Lin, Weiran, et al.
Published: (2024)

SECURE: Benchmarking Large Language Models for Cybersecurity
by: Bhusal, Dipkamal, et al.
Published: (2024)

Personalised Feedback Framework for Online Education Programmes Using Generative AI
by: Kuzminykh, Ievgeniia, et al.
Published: (2024)

BounTCHA: A CAPTCHA Utilizing Boundary Identification in Guided Generative AI-extended Videos
by: Lin, Lehao, et al.
Published: (2025)

Adversarial VR: An Open-Source Testbed for Evaluating Adversarial Robustness of VR Cybersickness Detection and Mitigation
by: Ahmed, Istiak, et al.
Published: (2025)

Agentic AI and the Industrialization of Cyber Offense: Forecast, Consequences, and Defensive Priorities for Enterprises and the Mittelstand
by: Koch, Christopher
Published: (2026)

Decision-Aware Trust Signal Alignment for SOC Alert Triage
by: Chowdhury, Israt Jahan, et al.
Published: (2026)

MeAJOR Corpus: A Multi-Source Dataset for Phishing Email Detection
by: Mendes, Paulo, et al.
Published: (2025)

JEEVHITAA -- An End-to-End HCAI System to Support Collective Care
by: Srinivasan, Shyama Sastha Krishnamoorthy, et al.
Published: (2025)

Human-AI Collaboration in Cloud Security: Cognitive Hierarchy-Driven Deep Reinforcement Learning
by: Aref, Zahra, et al.
Published: (2025)

AI-Assisted Adaptive Rendering for High-Frequency Security Telemetry in Web Interfaces
by: Rajhans, Mona
Published: (2026)

InjectLab: A Tactical Framework for Adversarial Threat Modeling Against Large Language Models
by: Howard, Austin
Published: (2025)

Manipulation Attacks by Misaligned AI: Risk Analysis and Safety Case Framework
by: Dassanayake, Rishane, et al.
Published: (2025)