most citedUnveiling Privacy and Security Gaps in Female Health Apps

2 citations · 2 across the 7 of their papers we have counts for

collaborators

9 papers

cs.HC2026

What should AI forget? A design and taxonomy for negative space governance in AI memory

Eryue Xu, Ke Ding, Ting-Yu Chang +2

AI memory personalizes assistants, yet users want some disclosed information forgotten. We characterize the negative space of AI memory, where protection should take precedence ove…

cs.CY2026

Who Governs Data in the AI Era? A Computational Analysis of the U.S. Privacy Workforce in Job Postings

Ramazan Yener, Muhammad Hassan, Masooda Bashir

Privacy protection now spans legal, technical, and managerial duties, and demand for privacy professionals is growing across sectors. However, little is known about how employers d…

cs.CY2026

Towards Agentic AI Governance: A Preliminary Assessment

Mubarak Raji, Masooda Bashir

Artificial intelligence is rapidly evolving from generative systems to agentic AI capable of autonomously planning and executing tasks. Widely characterized as the Year of Agentic…

cs.SE2026

Insights from GitHub Community on the Matter Standard: Developer Perspectives and Challenges

Muhammad Hassan, Carl Gunter, Susan Landau +1

Matter seeks to resolve longstanding interoperability problems in the Internet of Things (IoT), yet little is known about how developers experience the standard in day to day work.…

cs.HC2026

AI Healthcare Chatbots as Information Infrastructure: A Large-Scale Study of User-Reported Breakdowns

Muhammad Hassan, Ramazan Yener, Ece Gumusel +1

AI healthcare chatbots are increasingly used to support health information seeking and self-management, yet their performance and impact on users remains to be studied. This study…

cs.CR2025

Threats and Security Strategies for IoMT Infusion Pumps

Ramazan Yener, Muhammad Hassan, Masooda Bashir

The integration of the Internet of Medical Things (IoMT) into healthcare systems has transformed patient care by enabling real-time monitoring, enhanced diagnostics, and enhanced o…

cs.HC2025

Can I Trust This Chatbot? Assessing User Privacy in AI-Healthcare Chatbot Applications

Ramazan Yener, Guan-Hung Chen, Ece Gumusel +1

As Conversational Artificial Intelligence (AI) becomes more integrated into everyday life, AI-powered chatbot mobile applications are increasingly adopted across industries, partic…

cs.HC2025★ 2 cited

Unveiling Privacy and Security Gaps in Female Health Apps

Muhammad Hassan, Mahnoor Jameel, Tian Wang +1

Female Health Applications (FHA), a growing segment of FemTech, aim to provide affordable and accessible healthcare solutions for women globally. These applications gather and moni…

cs.CR2025

Decoding User Concerns in AI Health Chatbots: An Exploration of Security and Privacy in App Reviews

Muhammad Hassan, Abdullah Ghani, Muhammad Fareed Zaffar +1

AI powered health chatbot applications are increasingly utilized for personalized healthcare services, yet they pose significant challenges related to user data security and privac…