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David and Goliath: An Empirical Evaluation of Attacks and Defenses for QNNs at the Deep Edge

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Costa, Miguel, Pinto, Sandro
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence Cryptography and Security I.2.0
Accesso online:	Acceder al recurso
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