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Preprint Sep 2026

Privacy Leakage from a Thousand Words: Millipixel Location Recovery from Dot Maps

This paper systematically analyzes the privacy risks associated with dot maps and presents AutoLocate, an automated framework for high-precision location recovery that achieves average recovery errors as low as 1 meter on small-scale maps of the United States, over 200x more accurate than existing approaches.

Yuntao Du, Tanishq Pauskar, Hao Wang et al. · 0 citations

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