Proportional Differential Privacy (PDP): A new Approach for Differentially Private Histogram Release based on Buckets Densities

Mohammed Aissaoui. Proportional Differential Privacy (PDP): A new Approach for Differentially Private Histogram Release based on Buckets Densities. In 9th IFIP International Conference on Performance Evaluation and Modeling in Wireless Networks, PEMWN 2020, Berlin, Germany, December 1-3, 2020. pages 1-7, IEEE, 2020. [doi]

@inproceedings{Aissaoui20,
  title = {Proportional Differential Privacy (PDP): A new Approach for Differentially Private Histogram Release based on Buckets Densities},
  author = {Mohammed Aissaoui},
  year = {2020},
  doi = {10.23919/PEMWN50727.2020.9293079},
  url = {https://doi.org/10.23919/PEMWN50727.2020.9293079},
  researchr = {https://researchr.org/publication/Aissaoui20},
  cites = {0},
  citedby = {0},
  pages = {1-7},
  booktitle = {9th IFIP International Conference on Performance Evaluation and Modeling in Wireless Networks, PEMWN 2020, Berlin, Germany, December 1-3, 2020},
  publisher = {IEEE},
  isbn = {978-3-903176-30-0},
}