7 citations · 14 across the 8 of their papers we have counts for
8 papers
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…
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…
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…
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…
Privacy-Preserving Gaze Data Streaming in Immersive Interactive Virtual Reality: Robustness and User Experience
Ethan Wilson, Azim Ibragimov, Michael J. Proulx +3
Eye tracking is routinely being incorporated into virtual reality (VR) systems. Prior research has shown that eye tracking data, if exposed, can be used for re-identification attac…
Towards mitigating uncann(eye)ness in face swaps via gaze-centric loss terms
Ethan Wilson, Frederick Shic, Sophie Jörg +1
Advances in face swapping have enabled the automatic generation of highly realistic faces. Yet face swaps are perceived differently than when looking at real faces, with key differ…
Introducing Explicit Gaze Constraints to Face Swapping
Ethan Wilson, Frederick Shic, Eakta Jain
Face swapping combines one face's identity with another face's non-appearance attributes (expression, head pose, lighting) to generate a synthetic face. This technology is rapidly…
Practical Digital Disguises: Leveraging Face Swaps to Protect Patient Privacy
Ethan Wilson, Frederick Shic, Jenny Skytta +1
With rapid advancements in image generation technology, face swapping for privacy protection has emerged as an active area of research. The ultimate benefit is improved access to v…