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However, others nearby can also easily peek at the visualizations, resulting in personal data disclosure. In this paper, we propose a perception\u2010driven approach to transform mobile data visualizations into privacy\u2010preserving ones. Specifically, based on human visual perception, we develop a masking scheme to adjust the spatial frequency and luminance contrast of colored visualizations. The resulting visualization retains its original information in close proximity but reduces visibility when viewed from a certain distance or farther away. We conducted two user studies to inform the design of our approach (N=16) and systematically evaluate its performance (N=18), respectively. 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