Habiba Farrukh
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Habiba Farrukh has a total of 17 co-authors. Here are the top co-authors by number of shared publications:
- Arjun Arunasalam
Florida International University, Miami, FL, USA
4 shared publications - Z. Berkay Celik
Purdue University, West Lafayette, IN, USA
4 shared publications - Chandrika Mukherjee
Purdue University, West Lafayette, IN, USA
3 shared publications - Mutahar Ali
University of California, Irvine, Irvine, California, USA
3 shared publications - Muslum Ozgur Ozmen
Arizona State University
2 shared publications - Reham Mohamed Aburas
American University of Sharjah
2 shared publications
Latest Publications
- Open Access
- 14 November 2026
- Published by Association for Computing Machinery (ACM)
- p. 4059-4073
eXRpose : Runtime UI-based Attack Detection in WebXR
- 14 November 2026
- Published by Association for Computing Machinery (ACM)
- p. 4059-4073
Open AccesseXRpose : Runtime UI-based Attack Detection in WebXR
- Open Access
- 14 November 2026
- Published by Association for Computing Machinery (ACM)
- p. 2030-2044
Understanding Users' Perceptions of Client-Side Modifications and Anti-Cheat Engines in Social XR
- 14 November 2026
- Published by Association for Computing Machinery (ACM)
- p. 2030-2044
Open AccessUnderstanding Users' Perceptions of Client-Side Modifications and Anti-Cheat Engines in Social XR
- Open Access
- 26 October 2026
- Published by Association for Computing Machinery (ACM)
- p. 7-12
Agentic Framework for Automated Security Analysis in Multi-User Extended Reality
- 26 October 2026
- Published by Association for Computing Machinery (ACM)
- p. 7-12
Open AccessAgentic Framework for Automated Security Analysis in Multi-User Extended Reality
- Open Access
- 19 November 2025
- Published by Association for Computing Machinery (ACM)
- p. 4289-4303
Virtual Reality, Real Problems: A Longitudinal Security Analysis of VR Firmware
- 19 November 2025
- Published by Association for Computing Machinery (ACM)
- p. 4289-4303
Open AccessVirtual Reality, Real Problems: A Longitudinal Security Analysis of VR Firmware
- Open Access
- 23 June 2025
- Published by Association for Computing Machinery (ACM)
- p. 639-640
Demo: UI Based Attacks in WebXR
- 23 June 2025
- Published by Association for Computing Machinery (ACM)
- p. 639-640
Open AccessDemo: UI Based Attacks in WebXR
- Open Access
- 23 June 2025
- Published by Association for Computing Machinery (ACM)
- p. 609-610
Poster: PeekXR: Understanding Privacy Leakages from Eye Gaze in Extended Reality
- 23 June 2025
- Published by Association for Computing Machinery (ACM)
- p. 609-610
Open AccessPoster: PeekXR: Understanding Privacy Leakages from Eye Gaze in Extended Reality
- Open Access
- 6 May 2025
- Published by Association for Computing Machinery (ACM)
- p. 6-11
Intermittent Power, Continuous Protection: Security and Privacy for Batteryless Devices in IoT
- 6 May 2025
- Published by Association for Computing Machinery (ACM)
- p. 6-11
Open AccessIntermittent Power, Continuous Protection: Security and Privacy for Batteryless Devices in IoT
- Open Access
- 6 May 2025
- Published by Association for Computing Machinery (ACM)
- p. 76-79
Towards Secure User Interaction in WebXR
- 6 May 2025
- Published by Association for Computing Machinery (ACM)
- p. 76-79
Open AccessTowards Secure User Interaction in WebXR
- Open Access
- 11 November 2024
- Published by Association for Computing Machinery (ACM)
- p. 539-544
Expectation Conformance in Online Sound Therapy: Designing Tools for Users of Mental Wellbeing Applications
Mental wellbeing technologies are prevalent in digital spaces, such as content creation websites (e.g., YouTube) and mobile apps. Many users leverage such technologies and thus develop expectations for what they should provide. However, tools to verify whether these technologies conform to user expectations remain largely unexplored. We investigate this problem in the domain of binaural beats - a popular mental wellbeing technology. Using results from preliminary research, where we establish commonly held user expectations and introduce a method to measure expectation conformance, we explore the design of a tool to be used by binaural beats listeners. Through a pre-design survey with 43 participants and a user study with 28 participants, we demonstrate how tools leveraging commonly held user expectations can help users of mental wellbeing applications make informed decisions.
- 11 November 2024
- Published by Association for Computing Machinery (ACM)
- p. 539-544
Open AccessExpectation Conformance in Online Sound Therapy: Designing Tools for Users of Mental Wellbeing Applications
Mental wellbeing technologies are prevalent in digital spaces, such as content creation websites (e.g., YouTube) and mobile apps. Many users leverage such technologies and thus develop expectations for what they should provide. However, tools to verify whether these technologies conform to user expectations remain largely unexplored. We investigate this problem in the domain of binaural beats - a popular mental wellbeing technology. Using results from preliminary research, where we establish commonly held user expectations and introduce a method to measure expectation conformance, we explore the design of a tool to be used by binaural beats listeners. Through a pre-design survey with 43 participants and a user study with 28 participants, we demonstrate how tools leveraging commonly held user expectations can help users of mental wellbeing applications make informed decisions.