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DESCRIPTION:   'Title: Exploring Unprecedented Avenues for Data Harvesting 
 in the\n   Metaverse\n   When: Saturday\, Aug 13\, 13:45 - 14:30 PDT\n   W
 here: Flamingo - Sunset-Vista Ballroom (Crypto Privacy Village) - [1]Map\n
    Speakers:Gonzalo Munilla Garrido\,Vivek Nair\n\n   SpeakerBio:Gonzalo M
 unilla Garrido\n   Gonzalo Munilla Garrido is a privacy researcher at the 
 BMW Group and\n   Ph.D. Student at TU Munich\, where he researches privacy
 -enhancing\n   technologies. His main research interests are in differenti
 al privacy\n   and probability theory. Gonzalo has previously been recogni
 zed as\n   OpenMined's "contributor of the month" and has appeared in Goog
 le's\n   "Awakening" magazine. He contributes to the security & privacy\n 
   community by participating as a mentor and judge in hackathons\,\n   pub
 lishing code tutorials about differential privacy\, and teaching the\n   B
 lockchain Engineering course at TUM.\n\n   SpeakerBio:Vivek Nair\n   Vivek
  Nair is an EECS Ph.D. student at UC Berkeley and a researcher at\n   Corn
 ell's IC3. As a recipient of the NSF\, NPSC\, and Hertz fellowships\,\n   
 Vivek has worked with the US Department of Defense to build resilient\n   
 cyber systems. He began researching cybersecurity in 2015\, when he\n   fo
 unded Multifactor.com\, and has gone on to author 12+ patents for\n   cybe
 rsecurity technologies. He was the youngest-ever recipient of\n   Bachelor
 's and Master's degrees in Computer Science at the University\n   of Illin
 ois at the ages of 18 and 19 respectively. Outside of\n   cybersecurity\, 
 Vivek is a competitive VR eSports player and the\n   captain of UC Berkele
 y’s Beat Saber team\, which he led to a US\n   collegiate championship v
 ictory in 2021.\n\n   Description:\n   A virtual reality (VR) user thought
  they were joining an anonymous\n   server in the popular "VR Chat" applic
 ation. Behind the scenes\,\n   however\, an adversarial program had accura
 tely inferred over 25 of\n   their personal data attributes\, from anthrop
 ometrics like height and\n   wingspan to demographics like age and gender\
 , within just a few\n   minutes of them joining. As notoriously data-hungr
 y companies become\n   increasingly involved in VR development\, this scen
 ario may soon\n   represent a typical VR user experience. While virtual te
 lepresence\n   applications (and the so-called "metaverse") have recently 
 received\n   increased attention and investment from major tech firms\, th
 ese\n   environments remain relatively under-studied from a security and\n
    privacy standpoint. In this talk\, we'll illustrate via a real-time\n  
  VR/XR demo how an attacker can covertly harvest personal attributes\n   f
 rom seemingly-anonymous users of innocent-looking VR games. These\n   atta
 ckers can be as simple as other VR users without special\n   privilege\, a
 nd the potential scale and scope of this data collection\n   far exceed wh
 at is feasible within traditional mobile and web\n   applications. We aim 
 to shed light on the unique privacy risks that\n   the metaverse entails a
 nd contribute a new way of thinking about\n   security and privacy in emer
 ging AR/VR environments.\n   '\n\n   1. https://defcon.outel.org/consolida
 ted_page.html#FlamingoThirdFloor\n\n\n
DTEND:20220813T213000Z
DTSTART:20220813T204500Z
LOCATION:CPV - Flamingo - Sunset-Vista Ballroom  (Crypto Privacy Village)
SUMMARY:Exploring Unprecedented Avenues for Data Harvesting in the Metavers
 e
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