Dae Young Park, In-Young Ko. An Empirical Study of Utility and Disclosure Risk for Tabular Data Synthesis Models: In-Depth Analysis and Interesting Findings. In Herwig Unger, Jinseok Chae, Young-Koo Lee, Christian Wagner 0002, Chaokun Wang, Mehdi Bennis, Mahasak Ketcham, Young-Kyoon Suh, Hyuk-Yoon Kwon, editors, IEEE International Conference on Big Data and Smart Computing, BigComp 2024, Bangkok, Thailand, February 18-21, 2024. pages 67-74, IEEE, 2024. [doi]
@inproceedings{ParkK24-8,
title = {An Empirical Study of Utility and Disclosure Risk for Tabular Data Synthesis Models: In-Depth Analysis and Interesting Findings},
author = {Dae Young Park and In-Young Ko},
year = {2024},
doi = {10.1109/BigComp60711.2024.00020},
url = {https://doi.org/10.1109/BigComp60711.2024.00020},
researchr = {https://researchr.org/publication/ParkK24-8},
cites = {0},
citedby = {0},
pages = {67-74},
booktitle = {IEEE International Conference on Big Data and Smart Computing, BigComp 2024, Bangkok, Thailand, February 18-21, 2024},
editor = {Herwig Unger and Jinseok Chae and Young-Koo Lee and Christian Wagner 0002 and Chaokun Wang and Mehdi Bennis and Mahasak Ketcham and Young-Kyoon Suh and Hyuk-Yoon Kwon},
publisher = {IEEE},
isbn = {979-8-3503-7002-7},
}