Seed-free Graph De-anonymiztiation with Adversarial Learning

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

Reference37 articles.

1. [n.d.]. Number of internet of things (IoT) connected devices worldwide in 2018 2025 and 2030. https://www.statista.com/statistics/802690/worldwide-connecteddevices- by-access-technology/. [n.d.]. Number of internet of things (IoT) connected devices worldwide in 2018 2025 and 2030. https://www.statista.com/statistics/802690/worldwide-connecteddevices- by-access-technology/.

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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