Attribute Inference Attacks in Online Social Networks

By Neil Zhenqiang Gong. 2018

163 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Neil Zhenqiang Gong
2. Binghui Wang
3. Jinyuan Jia
4. Yang Zhang
5. Le Zhang
6. Michael Backes
7. Ahmed Salem
8. Hao Fu

In Information Systems

1. Neil Zhenqiang Gong
2. Binghui Wang
3. Jinyuan Jia
4. Le Zhang
5. Hao Fu

Citations in the corpus

• AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning (2018, background): “Attribute inference attacks are emerging threats to user privacy in various application domains ranging from social media [1–7] to recommender systems [8, 9] to mobile platforms [10, 11].”
• Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation (2018, background): “…to various security and privacy problems, including malware detection [2]–[6], Sybil detection in social networks [7]–[22], fake review detection [23]– [25], malicious website detection [26]–[28], auction fraud detection [29], APT infection detection [30], and attribute inference attacks [31]–[37].”