Differentially Private Data Synthesis: State of the Art and Challenges

Ninghui Li. Differentially Private Data Synthesis: State of the Art and Challenges. In Yuji Suga, Kouichi Sakurai, Xuhua Ding, Kazue Sako, editors, ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022 - 3 June 2022. pages 815, ACM, 2022. [doi]

@inproceedings{Li22-48,
  title = {Differentially Private Data Synthesis: State of the Art and Challenges},
  author = {Ninghui Li},
  year = {2022},
  doi = {10.1145/3488932.3522771},
  url = {https://doi.org/10.1145/3488932.3522771},
  researchr = {https://researchr.org/publication/Li22-48},
  cites = {0},
  citedby = {0},
  pages = {815},
  booktitle = {ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022 - 3 June 2022},
  editor = {Yuji Suga and Kouichi Sakurai and Xuhua Ding and Kazue Sako},
  publisher = {ACM},
  isbn = {978-1-4503-9140-5},
}