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Adversarial Vulnerabilities in Neural Operator Digital Twins: Gradient-Free Attacks on Nuclear Thermal-Hydraulic Surrogates

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Roy, Samrendra, Kobayashi, Kazuma, Chakraborty, Souvik, Rizwan-uddin, Alam, Syed Bahauddin
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Cryptography and Security
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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