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MAD-MAX: Modular And Diverse Malicious Attack MiXtures for Automated LLM Red Teaming

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Schoepf, Stefan, Hameed, Muhammad Zaid, Rawat, Ambrish, Fraser, Kieran, Zizzo, Giulio, Cornacchia, Giandomenico, Purcell, Mark
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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