kunzhan/BrainGuard
AAAI 2025 (Oral), BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities
This project helps neuroscientists and researchers working with Brain-Computer Interfaces reconstruct images of what a person is perceiving directly from their brain activity. It takes fMRI brain scan data from multiple individuals and outputs reconstructed images, without needing to pool sensitive individual data. Researchers in neuroscience, cognitive science, and BCI development would use this to advance brain decoding.
Use this if you need to reconstruct perceived images from fMRI brain activity across multiple subjects while strictly maintaining each individual's data privacy.
Not ideal if you are working with non-fMRI brain activity data or if you only need single-subject image reconstruction and privacy is not a primary concern.
Stars
21
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1
Language
Python
License
—
Category
Last pushed
Dec 01, 2025
Commits (30d)
0
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