| 2025 | WWW | Dynamic Graph Unlearning: A General and Efficient Post-Processing Method via Gradient Transformation. | He Zhang, Bang Wu, Xiangwen Yang, Xingliang Yuan, Xiaoning Liu, Xun Yi |
| 2024 | NDSS | GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks. | Bang Wu, He Zhang, Xiangwen Yang, Shuo Wang, Minhui Xue, Shirui Pan, Xingliang Yuan |
| 2023 | AsiaCCS | A New Look at Blockchain Leader Election: Simple, Efficient, Sustainable and Post-Quantum. | Muhammed F. Esgin, Oguzhan Ersoy, Veronika Kuchta, Julian Loss, Amin Sakzad, Ron Steinfeld, Xiangwen Yang, Raymond K. Zhao |
| 2023 | ICML | Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks. | He Zhang, Bang Wu, Shuo Wang, Xiangwen Yang, Minhui Xue, Shirui Pan, Xingliang Yuan |
| 2022 | AsiaCCS | Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realisation. | Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan |
| 2021 | CIKM | Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks. | He Zhang, Bang Wu, Xiangwen Yang, Chuan Zhou, Shuo Wang, Xingliang Yuan, Shirui Pan |
| 2021 | ICDM | Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications. | Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan |