Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods

Terrance Liu, Giuseppe Vietri, Steven Wu 0001. Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 690-702, 2021. [doi]

@inproceedings{LiuVW21,
  title = {Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods},
  author = {Terrance Liu and Giuseppe Vietri and Steven Wu 0001},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/0678c572b0d5597d2d4a6b5bd135754c-Abstract.html},
  researchr = {https://researchr.org/publication/LiuVW21},
  cites = {0},
  citedby = {0},
  pages = {690-702},
  booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
  editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}