Privacy-preserving anonymization of set-valued data-Reference-Cited by-同舟云学术

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Privacy-preserving anonymization of set-valued data

Published:2008-08 Issue:1 Volume:1 Page:115-125
ISSN:2150-8097
Container-title:Proceedings of the VLDB Endowment
language:en
Short-container-title:Proc. VLDB Endow.

Author:

Terrovitis Manolis¹,Mamoulis Nikos¹,Kalnis Panos²

Affiliation:

1. University of Hong Kong

2. National University of Singapore

Publisher

VLDB Endowment

Subject

General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development

Link

https://dl.acm.org/doi/pdf/10.14778/1453856.1453874

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2. Locally Private Set-valued Data Analyses: Distribution and Heavy Hitters Estimation;IEEE Transactions on Mobile Computing;2024

3. ODTT: Optimized Dynamic Taxonomy Tree with Differential Privacy;2023 IEEE International Conference on Big Data (BigData);2023-12-15

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

5. On the self-adjustment of privacy safeguards for query log streams;Computers & Security;2023-11

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