Changes between Initial Version and Version 1 of Other/Summer/2024/pLS


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Timestamp:
Jun 10, 2024, 3:00:40 PM (6 months ago)
Author:
dirky9000
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  • Other/Summer/2024/pLS

    v1 v1  
     1= Privacy Leakage Study and Protection for Virtual Reality Devices
     2
     3** Advisor:** [https://eceweb1.rutgers.edu/~daisylab/people.html# Dr. Yingying (Jennifer) Chen]
     4
     5**Mentors:** [https://eceweb1.rutgers.edu/~daisylab/people.html# Changming Li]^GR^, [https://eceweb1.rutgers.edu/~daisylab/people.html# Honglu Li]^GR^, and [https://eceweb1.rutgers.edu/~daisylab/people.html# Tianfang Zhang]^GR^
     6
     7**Team:** [https://www.linkedin.com/in/dirky9000 Dirk Catpo Risco]^GR^, [https://www.linkedin.com/in/genericnameforjinu/Brandon (Jinu) Son]^UG^, Brody^HS^, Emily Yao^HS^
     8
     9[https://google.com Final Poser With Results]
     10
     11
     12== Project Overview
     13Augmented reality/virtual reality (AR/VR) is used for many applications and have been used for many purposes ranging from communicating and tourism, all the way to healthcare. Accessing the built-in motion sensors does not require user permissions, as most VR applications need to access this information in order to function. However, this introduces the possibility of privacy vulnerabilities: zero-permission motion sensors can be used in order to infer live speech, which is a problem when that speech may include sensitive information.
     14
     15== Project Goal
     16The purpose of this project is to extract motion data from AR/VR devices inertial measurement unit (IMU), and then input this data to a large language model (LLM) to predict what the user is doing
     17
     18== Weekly Updates
     19=== Week 1
     20**Progress**
     21   * Read research paper ![1] regarding an eavesdropping attack called Face-Mic
     22**Next Week Goals**
     23   * We plan to meet with our mentors and get more information on the duties and expectations of our project
     24 
     25=== Week 2
     26**Progress**
     27  * Read research paper ![2] regarding LLMs comprehending the physical world
     28  * Build a connection between research paper and also privacy concerns of AR/VR devices
     29
     30**Next Week Goals**
     31  * Get familiar with AR/VR device:
     32    * Meta Quest
     33    * How to use device
     34    * Configure settings on host computer
     35  * Extract motion data from IMU
     36    * Connecting motion sensor application program interface (API) to access data
     37    * Data processing method
     38
     39=== Week 3
     40**Progress**
     41  * Placeholder
     42
     43**Next Week Goals**
     44  * Placeholder
     45
     46=== Week 4
     47**Progress**
     48  * Placeholder
     49
     50**Next Week Goals**
     51   * Placeholder
     52
     53=== Week 5
     54**Progress**
     55  * Placeholder
     56
     57**Next Week Goals**
     58   * Placeholder
     59
     60=== Week 6
     61**Progress**
     62  * Placeholder
     63
     64**Next Week Goals**
     65  * Placeholder
     66
     67=== Week 7
     68**Progress**
     69  * Placeholder
     70**Next Week Goals**
     71  * Placeholder
     72
     73== Links to Presentations
     74
     75{{{#!html
     76<p style="display: inline-block;">
     77<a href="https://google.com">Week 1</a> &nbsp
     78<a href="https://google.com">Week 2</a> &nbsp
     79<a href="https://google.com">Week 3</a> &nbsp
     80<a href="https://google.com">Week 4</a> &nbsp
     81<a href="https://google.com">Week 5</a> &nbsp
     82<a href="https://google.com">Week 6</a> &nbsp
     83<a href="https://google.com">Week 7</a> &nbsp
     84<a href="https://google.com">Final Presentation</a> &nbsp
     85
     86
     87</p>
     88}}}
     89   
     90== References
     91
     92![1] Shi, C., Xu, X., Zhang, T., Walker, P., Wu, Y., Liu, J., Saxena, N., Chen, Y. and Yu, J., 2021, October. Face-Mic: inferring live speech and speaker identity via subtle facial dynamics captured by AR/VR motion sensors. In Proceedings of the 27th Annual International Conference on Mobile Computing and Networking (pp. 478-490).
     93
     94![2] Xu, H., Han, L., Yang, Q., Li, M. and Srivastava, M., 2024, February. Penetrative ai: Making llms comprehend the physical world. In Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications (pp. 1-7).