Adversarial Attack Defense Method for a Continuous-Variable Quantum Key Distribution System Based on Kernel Robust Manifold Non-Negative Matrix Factorization

Machine learning has been applied in continuous-variable quantum key distribution (CVQKD) systems to address the growing threat of quantum hacking attacks. However, the use of machine learning algorithms for detecting these attacks has uncovered a vulnerability to adversarial disturbances that can c...

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Principais autores:	Yuwen Fu, E. Xia, Duan Huang, Yumei Jing
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-09-01
Colecção:	Applied Sciences
Assuntos:	CVQKD adversarial defense non-negative matrix factorization machine learning
Acesso em linha:	https://www.mdpi.com/2076-3417/13/17/9928
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