Changes between Version 35 and Version 36 of Other/Summer/2024/pLS


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Timestamp:
Aug 7, 2024, 1:37:12 PM (4 months ago)
Author:
dirky9000
Comment:

This is close to final presentation of our wiki

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  • Other/Summer/2024/pLS

    v35 v36  
    1414<a href=style="color:#BB0000;">Emily Yao</a><sup>HS</sup>
    1515</p>
    16 <p><span style="color:#BB0000; font-weight: bold;"><a href="https://google.com">Final Poster</a>
     16<p><span style="color:#BB0000; font-weight: bold;"><a href="https://docs.google.com/presentation/d/1-DTirqw1xlwxzQvLg-a_ucX3ex9LzDbn/edit#slide=id.g2ef813b4c52_1_29">Final Poster</a>
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    2020
    2121== Project Overview
    22 Augmented 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.
     22Augmented 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: data from zero-permission motion sensors encodes various types of the user’s private information, such as activity information and preferences.
    2323
    2424== Project Goal
    25 The 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
     25  * Investigate privacy leakage in AR/VR devices
     26  * Extract data from the IMU on AR/VR headset and controllers for Human Activity Recognition (HAR)
     27  * Use Support Vector Machine (SVM) and Large Language Model (LLM) to show how IMU data maliciously exposes activities of victim users
    2628
    2729== Weekly Updates
     
    237239
    238240<a
    239 href="https://google.com" style="color:#BB0000; margin-right: 20px;">Week 10
     241href="https://docs.google.com/presentation/d/1Ikq0lZkyyXrQlckJNZyvSo3K0u711e0oNYIOngolotU/edit" style="color:#BB0000; margin-right: 20px;">Week 10
    240242</a>
    241243 
    242244<a
    243 href="https://google.com" style="color:#BB0000; margin-right: 20px;">Final Presentation
     245href="https://docs.google.com/presentation/d/1WhneLK6GSfdTVr_OQ9CEG0FSX2G0BvsY/edit#slide=id.p1" style="color:#BB0000; margin-right: 20px;">Final Presentation
    244246</a>
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