Saying the winners of the 2021 In direction of Reliable Merchandise in AR, VR, and Sensible Units request for proposals

In June 2021, Facebook launched the 2021 Towards Trustworthy Products tender in AR, VR and Smart Devices (RFP). Today we announce the winners of this award.
VIEW RFP This RFP is a continuation of the 2020 Explorations of Trust in AR, VR, and Smart Devices RFP. With this series of RFPs, the Facebook Reality Labs Security Assurance team aims to promote further innovation and deepen collaboration with universities in the areas of trust in AR, VR and smart device products. The mixed reality and smart device industries are evolving, offering unique use cases and considerations. They bring with them completely new categories of technologies and thus completely new security and data protection challenges. With these new challenges, there is an opportunity to explore new methods and models for accounting for trust.

In this second round of the award-winning research, the following will be investigated:

  • Perceptual integrity, location manipulation attacks and multi-tenancy for multiple applications in AR and VR
  • Strong and usable biometric and multifactor authentication methods for the form factors of mixed reality products
  • Imaging and ML techniques to ensure hardware and supply chain security
  • Data protection-preserving methods and controls for eye tracking in AR and VR
  • Privacy and security in 3D point clouds for mixed reality

The team has reviewed 83 high quality suggestions and is pleased to announce the eight winning suggestions and five honorable mentions. Thank you to everyone who took the time to submit a proposal and congratulations to the winners.

We hope that through this call we will fund ongoing research that will help Facebook Reality Labs and the broader XR industry and community better understand and address these emerging risk areas in our efforts to develop trustworthy products.

Research Award Winner

Accessible multi-factor authentication in augmented reality glasses
Rahul Chatterjee, Earlence Fernandes, Yuhang Zhao (University of Wisconsin-Madison)

Detection of hardware Trojans through imaging and machine learning
Navid Asadi, Mark Tehranipoor (University of Florida)

Location manipulation in multi-user AR: attacks and defense
Jiasi Chen, Nael Abu-Ghazaleh (University of California, Riverside)

Perceptual Integrity in Virtual Reality
Seongkook Heo, Yuan Tian (University of Virginia)

Data protection-friendly eye tracking for AR / VR with adversarial learning
Guohao Lan, Xucong Zhang (Delft University of Technology)

Proven robust 3D point cloud classification for mobile augmented reality
Maria Gorlatova, Neil Gong (Duke University)

On the way to secure augmented and virtual reality platforms with multiple applications
Franziska Roesner, Tadayoshi Kohno (University of Washington)

Usable data protection control for real-time eye tracking in AR / VR
Kassem Fawaz, Younghyun Kim (University of Wisconsin – Madison)


Hardware and software to enforce the security of camera-based AR / VR apps
Samuel T. King, Jason Lowe-Power, Zubair Shafiq (University of California, Davis)

Prevent incorrect activation of the voice assistant by orienting the head
Anupam Das (North Carolina State University)

Privacy conscious 3D visual data transformation
Kanchana Thilakarathna, Albert Zomaya (University of Sydney)

Selective sharing and spatial preservation of privacy in mixed reality
Imad Elhajj, Ayman Kayssi, Noel Maalouf (American University of Beirut)

X-ray security for printed circuit boards in AR / VR applications
Navid Asadi, Mark Tehranipoor (University of Florida)

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