Reinforcement learning for the privacy preservation and manipulation of eye tracking data

Wolfgang Fuhl, Efe Bozkir, Enkelejda Kasneci

In this paper, we present an approach based on reinforcement learning for eye tracking data manipulation. It is based on two opposing agents, where one tries to classify the data c…