May 27, 2024
rAInboltBench : Benchmarking user location inference through single images
Le "Qronox" Lam ; Aleksandr Popov ; Jord Nguyen ; Trung Dung "mogu" Hoang ; Marcel M ; Felix Michalak
Summary
This paper introduces rAInboltBench, a comprehensive benchmark designed to evaluate the capability of multimodal AI models in inferring user locations from single images. The increasing
proficiency of large language models with vision capabilities has raised concerns regarding privacy and user security. Our benchmark addresses these concerns by analysing the performance
of state-of-the-art models, such as GPT-4o, in deducing geographical coordinates from visual inputs.
Cite this work:
@misc {
title={
rAInboltBench : Benchmarking user location inference through single images
},
author={
Le "Qronox" Lam ; Aleksandr Popov ; Jord Nguyen ; Trung Dung "mogu" Hoang ; Marcel M ; Felix Michalak
},
date={
5/27/24
},
organization={Apart Research},
note={Research submission to the research sprint hosted by Apart.},
howpublished={https://apartresearch.com}
}
