R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys-Reference-Cited by-同舟云学术

R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys

Published:2022-06-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 International Conference on Management of Data
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Author:

Dong Wei¹,Fang Juanru¹,Yi Ke¹,Tao Yuchao²,Machanavajjhala Ashwin²

Affiliation:

1. Hong Kong University of Science and Technology, Hong Kong, Hong Kong

2. Duke University, Durham, NC, USA

Funder

National Science Foundation

DARPA and SPAWAR

HKRGC

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3514221.3517844

Reference43 articles.

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3. Galen Andrew , Om Thakkar , H Brendan McMahan , and Swaroop Ramaswamy . Differentially private learning with adaptive clipping. arXiv preprint arXiv:1905.03871 , 2019 . Galen Andrew, Om Thakkar, H Brendan McMahan, and Swaroop Ramaswamy. Differentially private learning with adaptive clipping. arXiv preprint arXiv:1905.03871, 2019.

4. Myrto Arapinis , Diego Figueira , and Marco Gaboardi . Sensitivity of counting queries . In International Colloquium on Automata, Languages, and Programming (ICALP) , 2016 . Myrto Arapinis, Diego Figueira, and Marco Gaboardi. Sensitivity of counting queries. In International Colloquium on Automata, Languages, and Programming (ICALP), 2016.

5. Instance-optimality in differential privacy via approximate inverse sensitivity mechanisms;Asi Hilal;Advances in Neural Information Processing Systems,2020

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