Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data-Reference-Cited by-同舟云学术

Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data

Published:2024-08-24 Issue: Volume:6 Page:4059-4070
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Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Yuan Hanyang¹^ORCID,Xu Jiarong²^ORCID,Wang Cong³^ORCID,Yang Ziqi⁴^ORCID,Wang Chunping⁵^ORCID,Yin Keting⁴^ORCID,Yang Yang⁴^ORCID

Affiliation:

1. Zhejiang University & Fudan University, Hangzhou, China

2. Fudan University, Shanghai, China

3. Peking University, Beijing, China

4. Zhejiang University, Hangzhou, China

5. Finvolution Group, Shanghai, China

Funder

CCF-Tencent Rhino-Bird Open Research Fund

Zhejiang Province 'LingYan Research and Development Plan Project

Joint Funds of the Zhejiang Provincial Natural Science Foundation of China

Zhejiang Province High-Level Talents Special Support Program 'Leading Talent of Technological Innovation of Ten-Thousands Talents Program

National Natural Science Foundation of China

SMP-IDATA Open Youth Fund

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3672013

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5. Collective data-sanitization for preventing sensitive information inference attacks in social networks;Cai Zhipeng;IEEE Transactions on Dependable and Secure Computing,2016