Yuni Lai

According to our database, Yuni Lai authored at least 16 papers between 2020 and 2024.

Collaborative distances:

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

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

Defense-as-a-Service: Black-box Shielding against Backdoored Graph Models.

Xiao Yang, Kai Zhou, Yuni Lai, Gaolei Li

CoRR, 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

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

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