DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation
2021
Conference Paper
ei
| Author(s): | Harder, F. and Adamczewski, K. and Park, M. |
| Book Title: | Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS) |
| Volume: | 130 |
| Pages: | 1819--1827 |
| Year: | 2021 |
| Month: | April |
| Series: | Proceedings of Machine Learning Research |
| Editors: | Arindam Banerjee and Kenji Fukumizu |
| Publisher: | PMLR |
| Department(s): | Empirical Inference |
| Research Project(s): |
Privacy
|
| Bibtex Type: | Conference Paper (conference) |
| Event Name: | AISTATS 2021 |
| Event Place: | Virtual Conference |
| State: | Published |
| URL: | http://proceedings.mlr.press/v130/harder21a.html |
|
BibTex @conference{HarAdaPar,
title = {DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation},
author = {Harder, F. and Adamczewski, K. and Park, M.},
booktitle = {Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS)},
volume = {130},
pages = {1819--1827},
series = {Proceedings of Machine Learning Research},
editors = {Arindam Banerjee and Kenji Fukumizu},
publisher = {PMLR},
month = apr,
year = {2021},
doi = {},
url = {http://proceedings.mlr.press/v130/harder21a.html},
month_numeric = {4}
}
|
|
