Fine-grained emotion classification of Chinese microblogs based on graph convolution networks. - Yuni Lai; Linfeng Zhang 001; Donghong Han; Rui Zhou 001; Guoren Wang (World Wide Web, 2020)

BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection. - Yulin Zhu; Yuni Lai; Kaifa Zhao; Xiapu Luo; Mingquan Yuan; Jian Ren 001; Kai Zhou 001 (ICDE, 2022)

How Fraudster Detection Contributes to Robust Recommendation. - Yuni Lai; Kai Zhou 001 (CoRR, 2022)

Dual-Space Attacks against Random-Walk-based Anomaly Detection. - Yuni Lai; Marcin Waniek; Yulin Zhu; Liying Li; Jingwen Wu; Tomasz P. Michalak; Talal Rahwan; Kai Zhou 001 (CoRR, 2023)

Toward Certified Robustness of Graph Neural Networks in Adversarial AIoT Environments. - Yuni Lai; Jialong Zhou; Xiaoge Zhang 001; Kai Zhou 001 (IEEE Internet Things J., 2023)

Poster: AuditVotes: A Framework towards Deployable Certified Robustness for GNNs. - Yuni Lai; Kai Zhou 001 (CCS, 2024)

Cost Aware Untargeted Poisoning Attack Against Graph Neural Networks. - Yuwei Han; Yuni Lai; Yulin Zhu; Kai Zhou 001 (ICASSP, 2024)

Black-Box Attacks Against Signed Graph Analysis via Balance Poisoning. - Jialong Zhou; Yuni Lai; Jian Ren 001; Kai Zhou 001 (ICNC, 2024)

Collective Certified Robustness against Graph Injection Attacks. - Yuni Lai; Bailin Pan; Kaihuang Chen; Yancheng Yuan; Kai Zhou 001 (ICML, 2024)

Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks. - Yuni Lai; Yulin Zhu; Bailin Pan; Kai Zhou 001 (SP, 2024)

Universally Robust Graph Neural Networks by Preserving Neighbor Similarity. - Yulin Zhu; Yuni Lai; Xing Ai; Kai Zhou 001 (CoRR, 2024)

Adversarially Robust Signed Graph Contrastive Learning from Balance Augmentation. - Jialong Zhou; Xing Ai; Yuni Lai; Kai Zhou 001 (CoRR, 2024)

Coupled-Space Attacks Against Random-Walk-Based Anomaly Detection. - Yuni Lai; Marcin Waniek; Liying Li; Jingwen Wu; Yulin Zhu; Tomasz P. Michalak; Talal Rahwan; Kai Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection. - Yuni Lai; Yulin Zhu; Wenqi Fan; Xiaoge Zhang 001; Kai Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Auth-Graph: GenAI-empowered attribute-masked backdoor for on-demand authorizable graph learning. - Xiao Yang; Gaolei Li; Kai Zhou 001; Yuni Lai; Jianhua Li 001 (Inf. Fusion, 2025)

AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks. - Yuni Lai; Yulin Zhu; Yixuan Sun; Yulun Wu; Bin Xiao; Gaolei Li; Jianhua Li; Kai Zhou (CoRR, 2025)

From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection. - Yulin Zhu; Yuni Lai; Kaifa Zhao; Xiapu Luo; Mingquan Yuan; Jun Wu 001; Jian Ren 001; Kai Zhou 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)