4 papers
Toward Multimodal Privacy in XR: Design and Evaluation of Composite Privatization Methods for Gaze and Body Tracking Data
Azim Ibragimov, Ethan Wilson, Kevin R. B. Butler +1
As extended reality (XR) systems become increasingly immersive and sensor-rich, they enable the collection of behavioral signals such as eye and body telemetry. These signals suppo…
Towards Privacy-preserving Photorealistic Self-avatars in Mixed Reality
Ethan Wilson, Vincent Bindschaedler, Sophie Jörg +3
Photorealistic 3D avatar generation has rapidly improved in recent years, and realistic avatars that match a user's true appearance are more feasible in Mixed Reality (MR) than eve…
Federated Learning Nodes Can Reconstruct Peers' Image Data
Ethan Wilson, Kai Yue, Chau-Wai Wong +1
Federated learning (FL) is a privacy-preserving machine learning framework that enables multiple nodes to train models on their local data and periodically average weight updates t…
Eye Gaze as a Signal for Conveying User Attention in Contextual AI Systems
Ethan Wilson, Naveen Sendhilnathan, Charlie S. Burlingham +5
Advanced multimodal AI agents can now collaborate with users to solve challenges in the world. Yet, these emerging contextual AI systems rely on explicit communication channels bet…