Rial.
Luca de leo, ulises montenegro, daphne estrada, tobias becerra, guido freire · Team Rial G's
Submitted to Defensive Acceleration Hackathon. Sprint projects are early-stage work by participants, not Apart Research publications.
The fidelity and realism of synthetic images generated by Generative Artificial Intelligence have increased significantly in the last year, making it progressively difficult to differentiate them from real images. The impact of this problem is massive, affecting from national security to civil instability to mental health issues. In a world where AI generated content will become the norm, we introduce rial., a platform that allows users and enterprises to create and verify authentic images.

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@misc{leo2025rial,
title = {{Rial.}},
author = {Luca de leo and ulises montenegro and daphne estrada and tobias becerra and guido freire},
year = {2025},
month = nov,
note = {Submitted to Defensive Acceleration Hackathon, an Apart Research Sprint},
howpublished = {\url{https://apartresearch.com/sprints/projects/rial-7lzf}},
url = {https://apartresearch.com/sprints/projects/rial-7lzf}
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