Scholar
Aafaq Sabir
Google Scholar ID: MIZxvkUAAAAJ
North Carolina State University
Citations & Impact
Citations
111
H-index
5
i10-index
4
Publications
12
Co-authors
2
list available
Resume (English only)
Academic Achievements
- Publications: 'PriVA-C: Defending Voice Assistants from Fingerprinting Attacks' (PETS 2026), 'Analyzing Ad Prevalence, Characteristics, and Compliance in Alexa Skills' (IEEE SP 2025), 'Enabling Developers, Protecting Users: Investigating Harassment and Safety in VR' (USENIX Security 2024), 'Spying through Your Voice Assistants: Realistic Voice Command Fingerprinting' (USENIX Security 2023), 'INSPIRE: Instance-Level Privacy-Preserving Transformation for Vehicular Camera Videos' (ICCCN 2023), 'Speaker Orientation-Aware Privacy Control to Thwart Misactivation of Voice Assistants' (DSN 2023), 'Hey Alexa, Who Am I Talking to?: Analyzing Users’ Perception and Awareness Regarding Third-party Alexa Skills' (CHI 2022), 'Analyzing the Impact and Accuracy of Facebook Activity on Facebook's Ad-Interest Inference Process' (Proc. ACM Hum.-Comput. Interact. 2022), 'Understanding People's Attitude and Concerns towards Adopting IoT Devices' (CHI 2021 Extended Abstracts), 'Understanding the Privacy Implications of Adblock Plus’s Acceptable Ads' (ASIACCS 2021).
Research Experience
- Graduate Research Assistant at North Carolina State University (August 2021 – Present); Technical Content Engineer at Educative.io (August 2020 – September 2021).
Education
- PhD: North Carolina State University, Computer Science, Advisor: Dr. Anupam Das; MS: North Carolina State University, Computer Science; BS: Lahore University of Management Sciences, Computer Science, 2020.
Background
- PhD Computer Science student at North Carolina State University, advised by Dr. Anupam Das. Member of Wolfpack Security and Privacy Lab (WSPR). Research interests lie in Security and Privacy in emerging technologies, such as voice interfaces and IoT. Currently working on analyzing and mitigating privacy and security issues in smart home devices and voice assistants, which involves understanding the gap between users' mental models and system behavior. Also contributed to policy and compliance enforcement in smart voice assistants.
Miscellany
- LinkedIn, Twitter, Github, Google Scholar
