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PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Feng, Chen, Liu, Ziquan, Zhi, Zhuo, Bogunovic, Ilija, Gerner-Beuerle, Carsten, Rodrigues, Miguel
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Cryptography and Security
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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