On Provable Copyright Protection for Generative Models. Vyas, N., Kakade, S. M., & Barak, B. In International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, volume 202, of Proceedings of Machine Learning Research, pages 35277–35299, 2023. PMLR. Paper Paper Blog bibtex 5 downloads @inproceedings{DBLP:conf/icml/VyasKB23,
author = {Nikhil Vyas and
Sham M. Kakade and
Boaz Barak},
title = {On Provable Copyright Protection for Generative Models},
booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July
2023, Honolulu, Hawaii, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {202},
pages = {35277--35299},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v202/vyas23b.html},
timestamp = {Mon, 28 Aug 2023 17:23:09 +0200},
biburl = {https://dblp.org/rec/conf/icml/VyasKB23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org},
url_paper = {https://arxiv.org/abs/2302.10870},
url_blog = {https://windowsontheory.org/2023/02/21/provable-copyright-protection-for-generative-models/},
selected = {yes}
}
Downloads: 5
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