k-Anonymization by Freeform Generalization-Reference-Cited by-同舟云学术

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k-Anonymization by Freeform Generalization

Published:2015-04-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 10th ACM Symposium on Information, Computer and Communications Security
language:
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Author:

Doka Katerina¹,Xue Mingqiang²,Tsoumakos Dimitrios³,Karras Panagiotis⁴

Affiliation:

1. NTUA, Athens, Greece

2. Institute for Infocomm Research, Singapore, Singapore

3. Ionian University, Corfu, Greece

4. Skoltech, Skolkovo, Moscow Oblast, Russian Fed.

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2714576.2714590

Reference29 articles.

1. http://www.ipums.org. http://www.ipums.org.

2. 18. Mixed-Integer Programming: A Progress Report

3. The cost of privacy

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1. Preserving Individual Privacy from Inference Attack in Transaction Data Publishing;2023 Eighth International Conference on Informatics and Computing (ICIC);2023-12-08

2. GRASP: Scalable Graph Alignment by Spectral Corresponding Functions;ACM Transactions on Knowledge Discovery from Data;2023-02-24

3. Boosting Graph Alignment Algorithms;Proceedings of the 30th ACM International Conference on Information & Knowledge Management;2021-10-26

4. Privacy-Preserving Healthcare Analytics of Trajectory Data;Web and Big Data;2021

5. Anonymization of Multiple and Personalized Sensitive Attributes;Big Data Analytics and Knowledge Discovery;2018

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