Recent advances in sensing and computing technologies have
led to the rise of eye-tracking platforms. Ranging from mobiles to high-end mixed reality headsets, a wide spectrum
of interactive systems now employs eye-tracking. However,
eye gaze data is a rich source of sensitive information that
can reveal an individual’s physiological and psychological
traits. Prior approaches to protecting eye-tracking data suffer from two major drawbacks: they are either incompatible
with the current eye-tracking ecosystem or provide no formal
privacy guarantee.

Real-Time Privacy Control for Eye-Tracking Systems

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