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Meeting Date & Time

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    • 09:00-10:00 PT / 16:00-17:00 UTC 

Zoom Meeting Links / Recordings

Meetinghttps://zoom.us/j/98931559152?pwd=d0ZwM1JHQ3d5cXRqVTh4NlRHeVJvQT09

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Main Goal of this Meeting

This is the AIM TF's #24 meeting.

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Starting in the new year (2023), we plan to start drafting white papers or other types of deliverables of the task force.

Agenda Items and Notes (including all relevant links)

TimeAgenda ItemLeadNotes
2 min
  • Start recording
  • Welcome & antitrust notice
  • Introduction of new members
  • Agenda review
Chairs
  • Antitrust Policy Notice: Attendees are reminded to adhere to the meeting agenda and not participate in activities prohibited under antitrust and competition laws.
  • ToIP Policy: Only members of ToIP who have signed the necessary agreements are permitted to participate in this activity beyond an observer role.
  • ToIP TSWG IPR Policy: see TF wiki page. AI & Metaverse Technology Task Force
3 mins
  • Introduction of new members
  • Any general announcement, news, that could be of interest to the TF
All
  • Presentation scheduled for the July 19 All Member meeting on "Digital Trust in the age of Generative AI". - Wenjing Chu 
45 mins
  • Unique Identification of 50,000+ Virtual Reality Users from Head & Hand Motion Data
  • Inferring Private Personal Attributes of VR Users from Head and Hand Motion Data

Guest Speaker: Vivek Nair, Hertz Fellow, UC Berkeley

Anita Rao brief intro.


LinkedIn announcement: https://tinyurl.com/mrypn4c3

Vivek Nair develops cutting-edge cryptographic techniques to defend digital infrastructure against sophisticated cyber threats. Nair believes that for every problem that exists in cybersecurity, there is a cryptographic solution waiting to be found. Vivek will present these two recent studies from Berkeley RDI:

Unique Identification of 50,000+ Virtual Reality Users from Head & Hand Motion Data (https://arxiv.org/abs/2302.08927)

Inferring Private Personal Attributes of Virtual Reality Users from Head and Hand Motion Data (https://arxiv.org/abs/2305.1919)

#AIM #ToIP #VR #AR #security #data #digitaltrust #privacy

Notes from Vivek's presentation:

  • First study: Historic study of motion based identification in the 70's
  • Basic same idea fast forwarded - distinctions: large number of more diverse Beat Saber game participants 50K+ to make results statistically more significant and representative - game play recordings, and high identification rate 95+%.
  • The motion results are highly effective, comparable to or stronger than Iris, finger prints etc, while facial recognition is more off the chart
  • Context (scene of the play) info is useful but not a major contributor on its own in this study.
  • You can't hide motion data from the Apps - the motion events are important to the game play, so they have to be shared to the apps.
  • Second study: 
  • Take motion data as "language" - as in "body language".
  • Use transformer based learning to answer what additional personal information it can infer with statistically significance, e.g. weight, height, but also income, country, disability... 40+ attributes of personal info.
  • The "privacy layer" of a VR device also typically send all the significant motion data to all devices in the VR because latency requirements demand that rendering happens in the devices locally.
  • It is as if "you walk on a public square and broadcasting all the personal information".
  • We discussed Apple's VisionPro announcement - and its implications to privacy based on the results of these studies. Vivek: We have a very narrow window in devising a solution to this problem before VR devices, as currently designed, become the next iPhone of the world which we can't live without. 
  • THANKS to Vivek Nair for the wonderful presentation - this is hugely important for all of us! 
  • Encourage everyone to check out additional information:
    • Link to UCB:  
10 minsWhite paper status updates & call for additional blogs & white papers.  (Skipping)

@phil indicated that he might not be able to work on it for a while.

Regular updates from all lead authors: @sandy, Anita Rao  and @wenjing.

Call for additional Blog/white papers.

5 mins
  • Review decisions/action items
  • Planning for next meeting 
  • AOB
Chairs




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