Xingjun Ma

45 papers and 1.7k indexed citations i.

Xingjun Ma has authored 45 papers that have received a total of 1.7k indexed citations. This includes 37 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 5 papers in Safety Research. The topics of these papers are Adversarial Robustness in Machine Learning (20 papers), Anomaly Detection Techniques and Applications (13 papers) and Privacy-Preserving Technologies in Data (8 papers). Xingjun Ma is often cited by papers focused on Adversarial Robustness in Machine Learning (20 papers), Anomaly Detection Techniques and Applications (13 papers) and Privacy-Preserving Technologies in Data (8 papers) and collaborates with scholars based in Australia, China and United States. Xingjun Ma's co-authors include James Bailey, Yisen Wang, Lingjuan Lyu, Yu–Gang Jiang and Sarah M. Erfani and has published in prestigious journals such as Journal of Materials Science, Pattern Recognition and IEEE Transactions on Neural Networks and Learning Systems