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Geolocation Privacy — Attack & Defense

2025.10 → now Research Assistant Ambient Intelligence Lab, University of Michigan

[privacy][diffusion-models][VLM][security]

A photo leaks more location than people think: skylines, signage, vegetation, curb design. Vision-language models have made image geolocation cheap and accurate — which makes it a privacy problem. This project builds both sides: attack frameworks that measure how much location an image really leaks, and diffusion-based defenses that scrub the signal while keeping the photo usable.

also in the lab

Designing intelligent IoT sensing systems with Moiré-pattern optical sensors.

status

Active — attack benchmark under construction, defense prototypes in evaluation.