Network anomaly detection, distributed machine learning security, and large language model security. He conducts research on intelligent security analysis methods and key technologies, promoting theoretical research and application exploration of artificial intelligence in the field of cyberspace security.

[1] Soham Jana, Kun Yang, and Sanjeev Kulkarni. "Adversarially robust clustering with optimality guarantees." IEEE Transactions on Information Theory (2025).

[2] Kun Yang, Mohammad Mohammadi Amiri, and Sanjeev R. Kulkarni. "Greedy centroid initialization for federated k-means." Knowledge and Information Systems (2024).

[3] Kun Yang, Samory Kpotufe, and Nick Feamster. "An efficient one-class SVM for anomaly detection in the Internet of Things." Transactions on Machine Learning Research (2022).