Cover Image

Maximizing Information Gain in Privacy-Aware Active Learning of Email Anomalies

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chung, Mu-Huan Miles, Li, Sharon, Kongmanee, Jaturong, Wang, Lu, Yang, Yuhong, Giang, Calvin, Jerath, Khilan, Raman, Abhay, Lie, David, Chignell, Mark
Format:	Preprint
Published:	2024
Subjects:	Human-Computer Interaction Cryptography and Security Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Model Mastery Lifecycle: A Framework for Designing Human-AI Interaction
by: Chignell, Mark, et al.
Published: (2024)

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models
by: Kongmanee, Jaturong
Published: (2025)

Calpric: Inclusive and Fine-grain Labeling of Privacy Policies with Crowdsourcing and Active Learning
by: Qiu, Wenjun, et al.
Published: (2024)

PersonaMail: Learning and Adapting Personal Communication Preferences for Context-Aware Email Writing
by: Yao, Rui, et al.
Published: (2026)

"Help Me, But Don't Track Me": Intervention Timing and Privacy Boundaries for Process-Aware AI Tutors
by: Li, Jane Hanqi, et al.
Published: (2026)

COVID-19 as Reflected in University President Bulk Email
by: Kong, Ruoyan, et al.
Published: (2024)

Email as the Interface to Generative AI Models: Seamless Administrative Automation
by: Navarro, Andres, et al.
Published: (2025)

Comprehensive List of User Deception Techniques in Emails
by: Veit, Maxime, et al.
Published: (2026)

Why People Still Fall for Phishing Emails: An Empirical Investigation into How Users Make Email Response Decisions
by: Jayatilaka, Asangi, et al.
Published: (2024)

Privacy by Design: Bringing User Awareness to Privacy Risks in Internet of Things
by: Younus, Usama, et al.
Published: (2024)

Understanding and Supporting Formal Email Exchange by Answering AI-Generated Questions
by: Miura, Yusuke, et al.
Published: (2025)

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

Exploring Use and Perceptions of Generative AI Art Tools by Blind Artists
by: Raman, Gayatri, et al.
Published: (2024)

User Awareness and Perspectives Survey on Privacy, Security and Usability of Auditory Prostheses
by: Saha, Sohini, et al.
Published: (2025)

Eyes on the Phish(er): Towards Understanding Users' Email Processing Pattern and Mental Models in Phishing Detection
by: Zhuo, Sijie, et al.
Published: (2024)

Designing and Evaluating Scalable Privacy Awareness and Control User Interfaces for Mixed Reality
by: Strauss, Marvin, et al.
Published: (2024)

The Effects of Group Discussion and Role-playing Training on Self-efficacy, Support-seeking, and Reporting Phishing Emails: Evidence from a Mixed-design Experiment
by: Chen, Xiaowei, et al.
Published: (2024)

Actual Achieved Gain and Optimal Perceived Gain: Modeling Human Take-over Decisions Towards Automated Vehicles' Suggestions
by: Zhang, Shuning, et al.
Published: (2025)

Cracking Aegis: An Adversarial LLM-based Game for Raising Awareness of Vulnerabilities in Privacy Protection
by: Fu, Jiaying, et al.
Published: (2025)

Usable Privacy in Virtual Worlds: Design Implications for Data Collection Awareness and Control Interfaces in Virtual Reality
by: Paneva, Viktorija, et al.
Published: (2025)

Teaching Usable Privacy in HCI Education: Designing, Implementing, and Evaluating an Active Learning Graduate Course
by: Das, Sanchari, et al.
Published: (2026)

Exploring the Role of LLMs for Supporting Older Adults: Opportunities and Concerns
by: Kaliappan, Sidharth, et al.
Published: (2024)

PrivyWave: Privacy-Aware Wireless Sensing of Heartbeat
by: Gao, Yixuan, et al.
Published: (2025)

MetaRanker: Human-in-the-loop Active Ranking for Metalens Image Quality
by: Park, Yujin, et al.
Published: (2026)

From Virtual Gains to Real Pains: Potential Harms of Immersive Exergames
by: Cmentowski, Sebastian, et al.
Published: (2024)

Safeguarding Generative AI Applications in Preclinical Imaging through Hybrid Anomaly Detection
by: Binda, Jakub, et al.
Published: (2025)

The Privacy Guardian Agent: Towards Trustworthy AI Privacy Agents
by: Freiberger, Vincent
Published: (2026)

Improving Human Verification of LLM Reasoning through Interactive Explanation Interfaces
by: Zhou, Runtao, et al.
Published: (2025)

Circle Back Next Week: The Effect of Meeting-Free Weeks on Distributed Workers' Unstructured Time and Attention Negotiation
by: Ferguson, Sharon, et al.
Published: (2024)

Gaze-Enhanced Multimodal Turn-Taking Prediction in Triadic Conversations
by: Heo, Seongsil, et al.
Published: (2025)

From Word Embedding to Reading Embedding Using Large Language Model, EEG and Eye-tracking
by: Zhang, Yuhong, et al.
Published: (2024)

Geometry-Aware Active Learning of Pattern Rankings via Choquet-Based Aggregation
by: Opran, Tudor Matei, et al.
Published: (2025)

Towards Privacy-Aware and Personalised Assistive Robots: A User-Centred Approach
by: Casado, Fernando E.
Published: (2024)

Privacy Starts with UI: Privacy Patterns and Designer Perspectives in UI/UX Practice
by: Maloku, Anxhela, et al.
Published: (2026)

Acceptability of AI Assistants for Privacy: Perceptions of Experts and Users on Personalized Privacy Assistants
by: Xu, Meihe, et al.
Published: (2025)

Privacy as Social Norm: Systematically Reducing Dysfunctional Privacy Concerns on Social Media
by: Kim, JaeWon, et al.
Published: (2024)

Evaluating User Experience and Data Quality in Gamified Data Collection for Appearance-Based Gaze Estimation
by: Yue, Mingtao, et al.
Published: (2024)

Visual Analysis of GitHub Issues to Gain Insights
by: Proma, Rifat Ara, et al.
Published: (2024)

Designing AI Tutors for Interest-Based Learning: Insights from Human Instructors
by: Kulkarni, Abhishek, et al.
Published: (2026)

Exploring the Impact of an LLM-Powered Teachable Agent on Learning Gains and Cognitive Load in Music Education
by: Jin, Lingxi, et al.
Published: (2025)