Congzheng Song
About
Congzheng Song has authored 13 papers that have received a total of 2.6k indexed citations.
This includes 11 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Electrical and Electronic Engineering. The topics of these papers are Adversarial Robustness in Machine Learning (8 papers), Privacy-Preserving Technologies in Data (6 papers) and Topic Modeling (3 papers). Congzheng Song is often cited by papers focused on Adversarial Robustness in Machine Learning (8 papers), Privacy-Preserving Technologies in Data (6 papers) and Topic Modeling (3 papers) and collaborates with scholars based in United States, United Kingdom and China. Congzheng Song's co-authors include Vitaly Shmatikov, Luca Melis, Emiliano De Cristofaro, Ýmir Vigfússon and Lee Cooper and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Vacuum.
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