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.