Seed-free Graph De-anonymiztiation with Adversarial Learning-Reference-Cited by-同舟云学术

Seed-free Graph De-anonymiztiation with Adversarial Learning

Published:2020-10-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Information & Knowledge Management
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Author:

Li Kaiyang¹,Lu Guoming¹,Luo Guangchun¹,Cai Zhipeng²

Affiliation:

1. University of Electronic Science and Technology of China, Chengdu, China

2. Georgia State University, Atlanta, GA, USA

Funder

Ministry of Science and Technology of Sichuan Province Program

National Natural Science Foundation of China

National Key R&D Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3340531.3411970

Reference37 articles.

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2. Wherefore art thou r3579x?

3. Group formation in large social networks

4. Collective datasanitization for preventing sensitive information inference attacks in social networks;Cai Zhipeng;IEEE Transactions on Dependable and Secure Computing,2016

5. Social Network De-Anonymization Under Scale-Free User Relations

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