Yuni Lai

According to our database, Yuni Lai authored at least 25 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SemanAegis: Toward Credential-Aware Semantic Communication Against Knowledge Leakage Threats.

Xiao Yang, Yuni Lai, Gaolei Li, Jun Wu, Kai Zhou, Mingzhe Chen

IEEE Trans. Mob. Comput., April, 2026

Toward Polymorphic Backdoor Against Semantic Communication via Intensity-Based Poisoning.

Xiao Yang, Yuni Lai, Gaolei Li, Jun Wu, Kai Zhou, Jianhua Li, Mingzhe Chen

IEEE Trans. Inf. Forensics Secur., 2026

2025

Stealthy Dual-Trigger Backdoors: Attacking Prompt Tuning in LM-Empowered Graph Foundation Models.

Xiaoyu Xue, Yuni Lai, Chenxi Huang, Yulin Zhu, Gaolei Li, Xiaoge Zhang, Kai Zhou

CoRR, October, 2025

Provably Robust Adaptation for Language-Empowered Foundation Models.

Yuni Lai, Xiaoyu Xue, Linghui Shen, Yulun Wu, Gaolei Li, Song Guo, Kai Zhou, Bin Xiao

CoRR, October, 2025

Enhancing Targeted Adversarial Attacks on Large Vision-Language Models through Intermediate Projector Guidance.

Yiming Cao, Yanjie Li, Kaisheng Liang, Yuni Lai, Bin Xiao

CoRR, August, 2025

Multi-Grained Temporal-Spatial Graph Learning for Stable Traffic Flow Forecasting.

Zhenan Lin, Yuni Lai, Wai Lun Lo, Richard Tai Chiu Hsung, Harris Sik-Ho Tsang, Xiaoyu Xue, Kai Zhou, Yulin Zhu

CoRR, August, 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, Jian Ren, Kai Zhou

IEEE Trans. Neural Networks Learn. Syst., April, 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, March, 2025

Auth-Graph: GenAI-empowered attribute-masked backdoor for on-demand authorizable graph learning.

Xiao Yang, Gaolei Li, Kai Zhou, Yuni Lai, Jianhua Li

Inf. Fusion, 2025

A Distributed Adaptive System with Strong Tie Graphs for Trust-Aware Reasoning in Adversarial Graphs.

Yu Bu, Yulin Zhu, Yuni Lai

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

GraphProt: Certified Black-Box Shielding Against Backdoored Graph Models.

Xiao Yang, Yuni Lai, Kai Zhou, Gaolei Li, Jianhua Li, Hang Zhang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection.

Yuni Lai, Yulin Zhu, Wenqi Fan, Xiaoge Zhang, Kai Zhou

IEEE Trans. Inf. Forensics Secur., 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

IEEE Trans. Inf. Forensics Secur., 2024

Adversarially Robust Signed Graph Contrastive Learning from Balance Augmentation.

Jialong Zhou, Xing Ai, Yuni Lai, Kai Zhou

CoRR, 2024

Universally Robust Graph Neural Networks by Preserving Neighbor Similarity.

Yulin Zhu, Yuni Lai, Xing Ai, Kai Zhou

CoRR, 2024

Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks.

Yuni Lai, Yulin Zhu, Bailin Pan, Kai Zhou

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Collective Certified Robustness against Graph Injection Attacks.

Yuni Lai, Bailin Pan, Kaihuang Chen, Yancheng Yuan, Kai Zhou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Black-Box Attacks Against Signed Graph Analysis via Balance Poisoning.

Jialong Zhou, Yuni Lai, Jian Ren, Kai Zhou

Proceedings of the International Conference on Computing, Networking and Communications, 2024

Cost Aware Untargeted Poisoning Attack Against Graph Neural Networks.

Yuwei Han, Yuni Lai, Yulin Zhu, Kai Zhou

Proceedings of the IEEE International Conference on Acoustics, 2024

Poster: AuditVotes: A Framework towards Deployable Certified Robustness for GNNs.

Yuni Lai, Kai Zhou

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

Toward Certified Robustness of Graph Neural Networks in Adversarial AIoT Environments.

Yuni Lai, Jialong Zhou, Xiaoge Zhang, Kai Zhou

IEEE Internet Things J., August, 2023

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

CoRR, 2023

2022

How Fraudster Detection Contributes to Robust Recommendation.

Yuni Lai, Kai Zhou

CoRR, 2022

BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection.

Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jian Ren, Kai Zhou

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2020

Fine-grained emotion classification of Chinese microblogs based on graph convolution networks.

Yuni Lai, Linfeng Zhang, Donghong Han, Rui Zhou, Guoren Wang

World Wide Web, 2020