NeuroSeal
Justin Stoica , David Ghiberdic · Team NeuroSeal
Submitted to Defensive Acceleration Hackathon. Sprint projects are early-stage work by participants, not Apart Research publications.
NeuroSeal is a novel supply-chain security tool that immunizes Open-Weight LLMs against malicious fine-tuning. We solve the Dual-Use Dilemma by exploiting Adversarial Scale Invariance to mathematically lock model weights into a 'Read-Only' state. This preserves the model's intelligence (inference) but causes training to fail instantly via Gradient Explosion. Our solution provides a technical shield that raises the economic cost of attack, enabling the safe release of powerful models by guaranteeing their non-weaponizable nature.
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Cite this project
@misc{stoica2025neuroseal,
title = {{NeuroSeal}},
author = {Justin Stoica and David Ghiberdic},
year = {2025},
month = nov,
note = {Submitted to Defensive Acceleration Hackathon, an Apart Research Sprint},
howpublished = {\url{https://apartresearch.com/sprints/projects/neuroseal-2ybz}},
url = {https://apartresearch.com/sprints/projects/neuroseal-2ybz}
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