An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models-Reference-Cited by-同舟云学术

An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Information & Knowledge Management
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Author:

Hyeong Jihyeon¹,Kim Jayoung²,Park Noseong²,Jajodia Sushil³

Affiliation:

1. Northwestern University, Evanston, IL, USA

2. Yonsei University, Seoul, South Korea

3. George Mason University, Fairfax, VA, USA

Funder

U.S. Office of Naval Research

U.S. National Science Foundation

Institute of Information & Communications Technology Planning & Evaluation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511808.3557546

Reference26 articles.

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3. Roberto J. Bayardo and Rakesh Agrawal. 2005. Data Privacy through Optimal K-Anonymization . In Proceedings of the 21st International Conference on Data Engineering (ICDE '05) . IEEE Computer Society, USA, 217--228. https://doi.org/10.1109/ICDE. 2005 .42 10.1109/ICDE.2005.42 Roberto J. Bayardo and Rakesh Agrawal. 2005. Data Privacy through Optimal K-Anonymization. In Proceedings of the 21st International Conference on Data Engineering (ICDE '05). IEEE Computer Society, USA, 217--228. https://doi.org/10.1109/ICDE.2005.42

4. Brett Beaulieu-Jones , Zhiwei Wu , Chris Williams , Ran Lee , Sanjeev Bhavnani , James Byrd , and Casey Greene . 2019 . Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing . Circulation: Cardiovascular Quality and Outcomes , Vol. 12 (07 2019). https://doi.org/10.1161/CIRCOUTCOMES.118.005122 10.1161/CIRCOUTCOMES.118.005122 Brett Beaulieu-Jones, Zhiwei Wu, Chris Williams, Ran Lee, Sanjeev Bhavnani, James Byrd, and Casey Greene. 2019. Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing. Circulation: Cardiovascular Quality and Outcomes, Vol. 12 (07 2019). https://doi.org/10.1161/CIRCOUTCOMES.118.005122

5. Christopher M. Bishop . 2006. Pattern Recognition and Machine Learning (Information Science and Statistics) . Springer-Verlag , Berlin, Heidelberg . Christopher M. Bishop. 2006. Pattern Recognition and Machine Learning (Information Science and Statistics). Springer-Verlag, Berlin, Heidelberg.

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