MGA-VQA: Secure and Interpretable Graph-Augmented Visual Question Answering with Memory-Guided Protection Against Unauthorized Knowledge Use

Fuente: arXiv

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Bibliographic Details
Main Authors:	Mohammadshirazi, Ahmad, Neogi, Pinaki Prasad Guha, Kulshrestha, Dheeraj, Ramnath, Rajiv
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2511.17881