  Video-based eye trackers estimate gaze based on eye images/videos. As
security and privacy concerns loom over technological advancements, tackling
such challenges is crucial. We present a new approach to handle privacy issues
in eye videos by replacing the current identifiable iris texture with a
different iris template in the video capture pipeline based on the Rubber Sheet
Model. We extend to image blending and median-value representations to
demonstrate that videos can be manipulated without significantly degrading
segmentation and pupil detection accuracy.
