Copertina

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

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	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
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence Computers and Society
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Accesso online

https://arxiv.org/abs/2412.06966