87 citations · 152 across the 7 of their papers we have counts for
7 papers
Hidden In Plain Gaze: Gaze Representations as Privacy Controls for Utility and Re-identification Risk in XR
Cory Ilo, Brendan-David John, Doug A. Bowman
Intelligent extended reality (XR) systems increasingly use eye and head tracking to infer user intent, task, and attention, but the same signals can also reveal biometric identity.…
EvaluatAR: A Cross-Device Evaluation Framework for Rapid Prototyping of Bystander PETs in AR
Syed Ibrahim Mustafa Shah Bukhari, Matthew Corbett, Bo Ji +1
Augmented Reality (AR) headsets continuously sense their surroundings, capturing nearby bystanders and raising privacy risks. Visual bystander privacy-enhancing technologies (PETs)…
EyeSpy: Inferring Eye Gaze via Side-Channel Attacks Against Foveated Rendering
Paul Maynard, Harris Amjad, Camila Molinares +2
While eye tracking provides valuable capabilities for virtual reality, such as gaze interaction and dynamic foveated rendering (DFR), eye-tracking data can inadvertently reveal sen…
Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challenges
Efe Bozkir, Süleyman Özdel, Mengdi Wang +5
The latest developments in computer hardware, sensor technologies, and artificial intelligence can make virtual reality (VR) and virtual spaces an important part of human everyday…
A privacy-preserving approach to streaming eye-tracking data
Brendan David-John, Diane Hosfelt, Kevin Butler +1
Eye-tracking technology is being increasingly integrated into mixed reality devices. Although critical applications are being enabled, there are significant possibilities for viola…
The Security-Utility Trade-off for Iris Authentication and Eye Animation for Social Virtual Avatars
Brendan John, Sophie Jörg, Sanjeev Koppal +1
The gaze behavior of virtual avatars is critical to social presence and perceived eye contact during social interactions in Virtual Reality. Virtual Reality headsets are being desi…
Human-Planned Robotic Grasp Ranges: Capture and Validation
Brendon John, Jackson Carter, Javier Ruiz +4
Leveraging human grasping skills to teach a robot to perform a manipulation task is appealing, but there are several limitations to this approach: time-inefficient data capture pro…