Publications:
Xiuling Wang, Xin Huang, Guibo Luo, Jianliang Xu. Inference Attacks against Graph Generative Diffusion Models, In Proceedings of Usenix Security Symposium (USENIX), 2026.
Xiuling Wang, Xin Huang, Haibo Hu, Jianliang Xu. Communication-Efficient Federated Graph Classification via Generative
Diffusion Modeling, In Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026.
Shudong Liu, Hanwen Zhang, Xiuling Wang, Yuesheng Zhu, Guibo Luo. Feature-Aware One-Shot Federated Learning via Hierarchical Token Sequences, In Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2026.
Qiya Yang, Xiuling Wang, Guibo Luo, Yuesheng Zhu. NodeNAR: A Non-Autoregressive Graph Generative Model, In Proceedings of IEEE International Conference on Data Mining (ICDM), 2025.
Guibo Luo, Hanwen Zhang, Xiuling Wang, Mingzhi Chen, Yuesheng Zhu. MPCPA: Multi-Center Privacy Computing with Predictions Aggregation based on Denoising Diffusion Probabilistic Model. arXiv preprint arXiv:2403.07838, 2024.
Xiuling Wang, Wendy Hui Wang. Subgraph Structure Membership Inference Attacks against Graph Neural Networks. In Proceedings of Privacy Enhancing Technologies Symposium (PETS), 2024.
Xiuling Wang, Wendy Hui Wang. GCL-Leak: Link Membership Inference Attacks against Graph Contrastive Learning. In Proceedings of Privacy Enhancing Technologies Symposium (PETS), 2024.
Da Zhong, Xiuling Wang, Zhichao Xu, Jun Xu, Wendy Hui Wang. Interaction-level Membership Inference Attack against Recommender Systems with Long-Tailed Distribution. In Proceedings of Information and Knowledge Management (CIKM), 2024.
Ruikai Zhou, Kang Yang, Xiuling Wang, Wendy Hui Wang, Jun Xu. Revisiting Black-box Ownership Verification for Graph Neural Networks. In Proceedings of IEEE Symposium on Security and Privacy (S&P), 2024.
Nan Cui, Xiuling Wang, Wendy Hui Wang, Violet Chen, Yue Ning. Equipping Federated Graph Neural Networks with Structure-aware Group Fairness, In Proceedings of IEEE International Conference on Data Mining (ICDM), 2023.
Xiuling Wang, Wendy Hui Wang. Link Membership Inference Attacks against Network Representation Learning, In Proceedings of Annual Computer Security Applications Conference (ACSAC), 2023.
Da Zhong, Ruotong Yu, Kun Wu, Xiuling Wang, Jun Xu, Wendy Hui Wang. Disparate Privacy Leakage of Membership Inference Attacks against Graph Neural Networks, In Proceedings of Privacy Enhancing Technologies Symposium (PETS), 2023.
Xiuling Wang, Wendy Hui Wang. Group Property Inference Attacks Against Graph Neural Networks, In Proceedings of ACM Conference on Computer and Communications Security (CCS), 2022.
Xiuling Wang, Wendy Hui Wang. Providing Item-side Individual Fairness for Deep Recommender Systems. In Proceedings of ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2022.
Yanying Li, Xiuling Wang, Yue Ning, Wendy Hui Wang. Towards Fair Link Prediction on Social Network Graphs. In Proceedings of International AAAI Conference on Web and Social Media (ICWSM), 2022.
Hong Liu, Xiuling Wang, Miao Sun, and Cheng Pang. Multi-Channel Linear Prediction Based on Binaural Coherence for Speech Dereverberation. In Proceedings of International Conference on INTERSPEECH, 2016.
Cheng Pang, Xiuling Wang, Jie Zhang, Hong Liu, Mandarin Accent Identification Based on GMM with Multi-Feature Fusion, Journal of Huazhong University of Science and Technology, 2015.
