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Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cooper, A. Feder, Choquette-Choo, Christopher A., Bogen, Miranda, Klyman, Kevin, Jagielski, Matthew, Filippova, Katja, Liu, Ken, Chouldechova, Alexandra, Hayes, Jamie, Huang, Yangsibo, Triantafillou, Eleni, Kairouz, Peter, Mitchell, Nicole Elyse, Mireshghallah, Niloofar, Jacobs, Abigail Z., Grimmelmann, James, Shmatikov, Vitaly, De Sa, Christopher, Shumailov, Ilia, Terzis, Andreas, Barocas, Solon, Vaughan, Jennifer Wortman, boyd, danah, Choi, Yejin, Koyejo, Sanmi, Delgado, Fernando, Liang, Percy, Ho, Daniel E., Samuelson, Pamela, Brundage, Miles, Bau, David, Neel, Seth, Wallach, Hanna, Cyphert, Amy B., Lemley, Mark A., Papernot, Nicolas, Lee, Katherine
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence Computers and Society
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Internet

https://arxiv.org/abs/2412.06966