EyeSpy demonstrates a side-channel attack that reconstructs eye gaze from rendering performance variations in foveated rendering VR systems with mean errors of 1.1-4.4 degrees.
Efe Bozkir, Ali Burak Ünal, Mete Akgün, Enkelejda Kasneci, and Nico Pfeifer
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2representative citing papers
Garbled circuits enable privacy-preserving scanpath comparison and secure storage for eye-tracking data under the semi-honest model in two-party and server-assisted settings.
citing papers explorer
-
EyeSpy: Inferring Eye Gaze via Side-Channel Attacks Against Foveated Rendering
EyeSpy demonstrates a side-channel attack that reconstructs eye gaze from rendering performance variations in foveated rendering VR systems with mean errors of 1.1-4.4 degrees.