A Human-Centered Privacy Approach (HCP) to AI
Fuente:
arXiv
Saved in:
| Main Authors: | Sun, Luyi, Xu, Wei, Gao, Zaifeng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Human-Centered Privacy Research in the Age of Large Language Models
by: Li, Tianshi, et al.
Published: (2024)
by: Li, Tianshi, et al.
Published: (2024)
Identify As A Human Does: A Pathfinder of Next-Generation Anti-Cheat Framework for First-Person Shooter Games
by: Zhang, Jiayi, et al.
Published: (2024)
by: Zhang, Jiayi, et al.
Published: (2024)
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)
by: Zhang, Zhiping, et al.
Published: (2024)
Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challenges
by: Bozkir, Efe, et al.
Published: (2023)
by: Bozkir, Efe, et al.
Published: (2023)
Towards Automating Data Access Permissions in AI Agents
by: Wu, Yuhao, et al.
Published: (2025)
by: Wu, Yuhao, et al.
Published: (2025)
Generative AI-based closed-loop fMRI system
by: Kasahara, Mikihiro, et al.
Published: (2024)
by: Kasahara, Mikihiro, et al.
Published: (2024)
Human-Centered Explainability in AI-Enhanced UI Security Interfaces: Designing Trustworthy Copilots for Cybersecurity Analysts
by: Rajhans, Mona
Published: (2026)
by: Rajhans, Mona
Published: (2026)
PrivateXR: Defending Privacy Attacks in Extended Reality Through Explainable AI-Guided Differential Privacy
by: Kundu, Ripan Kumar, et al.
Published: (2025)
by: Kundu, Ripan Kumar, et al.
Published: (2025)
IFTT-PIN: A Self-Calibrating PIN-Entry Method
by: McConkey, Kathryn, et al.
Published: (2024)
by: McConkey, Kathryn, et al.
Published: (2024)
Device-Native Autonomous Agents for Privacy-Preserving Negotiations
by: Roy, Joyjit, et al.
Published: (2026)
by: Roy, Joyjit, et al.
Published: (2026)
Human-AI Collaboration in Cloud Security: Cognitive Hierarchy-Driven Deep Reinforcement Learning
by: Aref, Zahra, et al.
Published: (2025)
by: Aref, Zahra, et al.
Published: (2025)
Known By Their Actions: Fingerprinting LLM Browser Agents via UI Traces
by: Lugoloobi, William, et al.
Published: (2026)
by: Lugoloobi, William, et al.
Published: (2026)
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts
by: Zarlenga, Mateo Espinosa, et al.
Published: (2025)
by: Zarlenga, Mateo Espinosa, et al.
Published: (2025)
Distinguishing Scams and Fraud with Ensemble Learning
by: Chadalavada, Isha, et al.
Published: (2024)
by: Chadalavada, Isha, et al.
Published: (2024)
LLM Whisperer: An Inconspicuous Attack to Bias LLM Responses
by: Lin, Weiran, et al.
Published: (2024)
by: Lin, Weiran, et al.
Published: (2024)
Adversarial Attacks on Machine Learning-Aided Visualizations
by: Fujiwara, Takanori, et al.
Published: (2024)
by: Fujiwara, Takanori, et al.
Published: (2024)
Empowering Users in Digital Privacy Management through Interactive LLM-Based Agents
by: Sun, Bolun, et al.
Published: (2024)
by: Sun, Bolun, et al.
Published: (2024)
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)
by: La Torre, Antonio, et al.
Published: (2025)
An HCAI Methodological Framework (HCAI-MF): Putting It Into Action to Enable Human-Centered AI
by: Xu, Wei, et al.
Published: (2023)
by: Xu, Wei, et al.
Published: (2023)
BounTCHA: A CAPTCHA Utilizing Boundary Identification in Guided Generative AI-extended Videos
by: Lin, Lehao, et al.
Published: (2025)
by: Lin, Lehao, et al.
Published: (2025)
Health App Reviews for Privacy & Trust (HARPT): A Corpus for Analyzing Patient Privacy Concerns, Trust in Providers and Trust in Applications
by: Kelly, Timoteo, et al.
Published: (2025)
by: Kelly, Timoteo, et al.
Published: (2025)
Autonomy Reshapes How Personalization Affects Privacy Concerns and Trust in LLM Agents
by: Zhang, Zhiping, et al.
Published: (2025)
by: Zhang, Zhiping, et al.
Published: (2025)
A Security Risk Taxonomy for Prompt-Based Interaction With Large Language Models
by: Derner, Erik, et al.
Published: (2023)
by: Derner, Erik, et al.
Published: (2023)
Federated Learning in Offline and Online EMG Decoding: A Privacy and Performance Perspective
by: Malcolm, Kai, et al.
Published: (2025)
by: Malcolm, Kai, et al.
Published: (2025)
Personhood Credentials: Human-Centered Design Recommendation Balancing Security, Usability, and Trust
by: Ide, Ayae, et al.
Published: (2025)
by: Ide, Ayae, et al.
Published: (2025)
What Security and Privacy Transparency Users Need from Consumer-Facing Generative AI
by: Cao, Jiaxun, et al.
Published: (2026)
by: Cao, Jiaxun, et al.
Published: (2026)
Maximizing Information Gain in Privacy-Aware Active Learning of Email Anomalies
by: Chung, Mu-Huan Miles, et al.
Published: (2024)
by: Chung, Mu-Huan Miles, et al.
Published: (2024)
Intolerable Risk Threshold Recommendations for Artificial Intelligence
by: Raman, Deepika, et al.
Published: (2025)
by: Raman, Deepika, et al.
Published: (2025)
Can LLM-Generated Misinformation Be Detected?
by: Chen, Canyu, et al.
Published: (2023)
by: Chen, Canyu, et al.
Published: (2023)
Human-Centered Human-AI Collaboration (HCHAC)
by: Gao, Qi, et al.
Published: (2025)
by: Gao, Qi, et al.
Published: (2025)
OpenAI's Approach to External Red Teaming for AI Models and Systems
by: Ahmad, Lama, et al.
Published: (2025)
by: Ahmad, Lama, et al.
Published: (2025)
Current state of LLM Risks and AI Guardrails
by: Ayyamperumal, Suriya Ganesh, et al.
Published: (2024)
by: Ayyamperumal, Suriya Ganesh, et al.
Published: (2024)
PhishLang: A Real-Time, Fully Client-Side Phishing Detection Framework Using MobileBERT
by: Roy, Sayak Saha, et al.
Published: (2024)
by: Roy, Sayak Saha, et al.
Published: (2024)
"Think First, Verify Always": Training Humans to Face AI Risks
by: Aydin, Yuksel
Published: (2025)
by: Aydin, Yuksel
Published: (2025)
Towards Secure AI-driven Industrial Metaverse with NFT Digital Twins
by: Prakash, Ravi, et al.
Published: (2024)
by: Prakash, Ravi, et al.
Published: (2024)
Manipulation Attacks by Misaligned AI: Risk Analysis and Safety Case Framework
by: Dassanayake, Rishane, et al.
Published: (2025)
by: Dassanayake, Rishane, et al.
Published: (2025)
Personalised Feedback Framework for Online Education Programmes Using Generative AI
by: Kuzminykh, Ievgeniia, et al.
Published: (2024)
by: Kuzminykh, Ievgeniia, et al.
Published: (2024)
AI-Assisted Adaptive Rendering for High-Frequency Security Telemetry in Web Interfaces
by: Rajhans, Mona
Published: (2026)
by: Rajhans, Mona
Published: (2026)
Agentic AI and the Industrialization of Cyber Offense: Forecast, Consequences, and Defensive Priorities for Enterprises and the Mittelstand
by: Koch, Christopher
Published: (2026)
by: Koch, Christopher
Published: (2026)
Risk Averse Alert Prioritization for IDS Using Subnormal Gaussian Fuzzy Models
by: Moran, Murat
Published: (2026)
by: Moran, Murat
Published: (2026)
Similar Items
-
Human-Centered Privacy Research in the Age of Large Language Models
by: Li, Tianshi, et al.
Published: (2024) -
Identify As A Human Does: A Pathfinder of Next-Generation Anti-Cheat Framework for First-Person Shooter Games
by: Zhang, Jiayi, et al.
Published: (2024) -
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) -
Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challenges
by: Bozkir, Efe, et al.
Published: (2023) -
Towards Automating Data Access Permissions in AI Agents
by: Wu, Yuhao, et al.
Published: (2025)