Publications

2026

Working Papers

[1] Song. Y. & Palanisamy. B. (2026). Taipan: A Query-free Transfer-based Multiple Sensitive Attribute Inference Attack Solely from Publicly Released Graphs. Submitted to USENIX.

2025

[1] Song. Y. & Palanisamy. B. (2025). GraphToxin: Reconstructing Full Unlearned Graphs from Graph Unlearning. Submitted to USENIX.

[2] Song.Y., Singh.R. & Palanisamy.B. (2025). Krait: A Backdoor Attack Against Graph Prompt Tuning. In the 3rd IEEE Conference on Secure and Trustworthy Machine Learning (SaTML).

2024

[1] Song.Y. & Palanisamy.B. (2024). MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage. In the World Wide Web J. 27 (6), 74.

2022

[1] Song.Z., Li.W., Jin.X., Ying.J., Zhang.X., Song.Y., Li.H. & Fan.Q.(2022). Genetics, Leadership, and Well-Being: An Investigation with a Large-Scale GWAS. In the Proceedings of the National Academy of Sciences of the United States of America (PNAS).

2021

[1] Ng.J., Hubner.S., Teow.J., Song.Y., Wang.Y., Kaur.A., Frese.M., Song.Z., Lee.L. & Moriguchi.T.(2021). Development of cultural inventory on Asian countries and exploratory approach to predict innovation. In the 81st Annual Meeting of the Academy of Management.