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Hey, thanks for stopping by Jingjie's place on the Internet. I am currently a Ph.D. candidate in computer engineering at the University of Wisconsin—Madison, advised by Prof. Younghyun Kim and Prof. Kassem Fawaz :).

My research in usable security and privacy aims at (1) designing privacy-controllable smart devices and (2) understanding and supporting smart device users regarding security and privacy. I am particularly interested in the privacy issues of augmented/virtual reality, smart home, and biometrics. I started my research journey from affective computing during my undergraduate study. Now in Madison, I also work with brilliant folks to design power-efficient computing systems, including brain-computer interfaces. I am happy to learn and apply a broad spectrum of skills from HW/SW design to qualitative methods (and more!) in solving practical and futuristic problems. (For more about my projects, please refer to my CV.)

I enjoy building tangible gadgets that would make our lives more fun to exhaust the daydreams hoarded up during the Wisconsin winter.

Education

Research Experience

Highlighted Projects

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  • “It’s up to the Consumer to be Smart”: Understanding the Security and Privacy Attitudes of Smart Home Users on Reddit
  • Jingjie Li, Kaiwen Sun, Brittany Huff, Anna Bierley, Younghyun Kim, Florian Schaub, Kassem Fawaz (IEEE S&P'23)
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  • We reveal how smart home users on Reddit develop S&P considerations, how their attitudes evolve given the changing context, and how online discourse influences them.

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  • Kalεido: Real-Time Privacy Control for Eye-Tracking Systems
  • Jingjie Li, Amrita Roy Chowdhury, Kassem Fawaz, Younghyun Kim (USENIX Sec'21)
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    WSJ News
    Meta Research
  • Kalεido provides privacy for streaming eye gaze data in real-time by local differential privacy. We implement Kalεido in Unity, which acts as an tunable intermediary privacy control knob for various eye-tracking systems including mixed reality.

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  • Velody: Nonlinear Vibration Challenge-Response for Resilient User Authentication
  • Jingjie Li, Kassem Fawaz, Younghyun Kim (ACM CCS'19)
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  • Velody is a biometric user authentication that leverages nonlinear vibration challenge-response. By updating the unique and complex nonlinear challenge-responses used in authentication, Velody thawrts the threats from reusing/modelling static biometrics.



Publications