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.
On Provable Copyright Protection for Generative Models [link]Paper  On Provable Copyright Protection for Generative Models [link]Paper  On Provable Copyright Protection for Generative Models [link]Blog  bibtex   2 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}
}

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