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2020 – today
- 2025
[j6]Xiao Yang
, Gaolei Li, Kai Zhou, Yuni Lai, Jianhua Li:
Auth-Graph: GenAI-empowered attribute-masked backdoor for on-demand authorizable graph learning. Inf. Fusion 124: 103375 (2025)- [j5]Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jun Wu, Jian Ren, Kai Zhou:
From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 36(4): 6174-6187 (2025) - [c8]Xiao Yang, Yuni Lai, Kai Zhou, Gaolei Li, Jianhua Li, Hang Zhang:
GraphProt: Certified Black-Box Shielding Against Backdoored Graph Models. IJCAI 2025: 619-627 - [c7]Yu Bu, Yulin Zhu, Yuni Lai:
A Distributed Adaptive System with Strong Tie Graphs for Trust-Aware Reasoning in Adversarial Graphs. SMC 2025: 4756-4763 - [i16]Yuni Lai, Yulin Zhu, Yixuan Sun, Yulun Wu, Bin Xiao, Gaolei Li, Jianhua Li, Kai Zhou:
AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks. CoRR abs/2503.22998 (2025) - [i15]Zhenan Lin, Yuni Lai, Wai Lun Lo, Richard Tai Chiu Hsung, Harris Sik-Ho Tsang, Xiaoyu Xue, Kai Zhou, Yulin Zhu:
Multi-Grained Temporal-Spatial Graph Learning for Stable Traffic Flow Forecasting. CoRR abs/2508.00884 (2025) - [i14]Yiming Cao, Yanjie Li, Kaisheng Liang, Yuni Lai, Bin Xiao:
Enhancing Targeted Adversarial Attacks on Large Vision-Language Models through Intermediate Projector Guidance. CoRR abs/2508.13739 (2025) - [i13]Yuni Lai, Xiaoyu Xue, Linghui Shen, Yulun Wu, Gaolei Li, Song Guo, Kai Zhou, Bin Xiao:
Provably Robust Adaptation for Language-Empowered Foundation Models. CoRR abs/2510.08659 (2025) - [i12]Xiaoyu Xue, Yuni Lai, Chenxi Huang, Yulin Zhu, Gaolei Li, Xiaoge Zhang, Kai Zhou:
Stealthy Dual-Trigger Backdoors: Attacking Prompt Tuning in LM-Empowered Graph Foundation Models. CoRR abs/2510.14470 (2025) - 2024
- [j4]Yuni Lai, Yulin Zhu, Wenqi Fan, Xiaoge Zhang, Kai Zhou:
Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection. IEEE Trans. Inf. Forensics Secur. 19: 907-919 (2024) - [j3]Yuni Lai, Marcin Waniek, Liying Li, Jingwen Wu, Yulin Zhu, Tomasz P. Michalak, Talal Rahwan, Kai Zhou:
Coupled-Space Attacks Against Random-Walk-Based Anomaly Detection. IEEE Trans. Inf. Forensics Secur. 19: 9315-9329 (2024) - [c6]Yuni Lai, Kai Zhou:
Poster: AuditVotes: A Framework towards Deployable Certified Robustness for GNNs. CCS 2024: 4949-4951 - [c5]Yuwei Han, Yuni Lai, Yulin Zhu, Kai Zhou:
Cost Aware Untargeted Poisoning Attack Against Graph Neural Networks. ICASSP 2024: 4940-4944 - [c4]Jialong Zhou, Yuni Lai, Jian Ren, Kai Zhou:
Black-Box Attacks Against Signed Graph Analysis via Balance Poisoning. ICNC 2024: 530-535 - [c3]Yuni Lai, Bailin Pan, Kaihuang Chen, Yancheng Yuan, Kai Zhou:
Collective Certified Robustness against Graph Injection Attacks. ICML 2024: 25871-25891 - [c2]Yuni Lai, Yulin Zhu, Bailin Pan, Kai Zhou:
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks. SP 2024: 2958-2976 - [i11]Yulin Zhu, Yuni Lai, Xing Ai, Kai Zhou:
Universally Robust Graph Neural Networks by Preserving Neighbor Similarity. CoRR abs/2401.09754 (2024) - [i10]Jialong Zhou, Xing Ai, Yuni Lai, Kai Zhou:
Adversarially Robust Signed Graph Contrastive Learning from Balance Augmentation. CoRR abs/2401.10590 (2024) - [i9]Yuni Lai, Bailin Pan, Kaihuang Chen, Yancheng Yuan, Kai Zhou:
Collective Certified Robustness against Graph Injection Attacks. CoRR abs/2403.01423 (2024) - 2023
- [j2]Yuni Lai, Jialong Zhou, Xiaoge Zhang, Kai Zhou:
Toward Certified Robustness of Graph Neural Networks in Adversarial AIoT Environments. IEEE Internet Things J. 10(15): 13920-13932 (2023) - [i8]Yuni Lai, Marcin Waniek, Yulin Zhu, Liying Li, Jingwen Wu, Tomasz P. Michalak, Talal Rahwan, Kai Zhou:
Dual-Space Attacks against Random-Walk-based Anomaly Detection. CoRR abs/2307.14387 (2023) - [i7]Jialong Zhou, Yuni Lai, Jian Ren, Kai Zhou:
Black-Box Attacks against Signed Graph Analysis via Balance Poisoning. CoRR abs/2309.02396 (2023) - [i6]Yuni Lai, Yulin Zhu, Bailin Pan, Kai Zhou:
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks. CoRR abs/2312.03979 (2023) - [i5]Yuwei Han, Yuni Lai, Yulin Zhu, Kai Zhou:
Cost Aware Untargeted Poisoning Attack against Graph Neural Networks, . CoRR abs/2312.07158 (2023) - 2022
- [c1]Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jian Ren, Kai Zhou:
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection. ICDE 2022: 14-26 - [i4]Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jun Wu, Jian Ren, Kai Zhou:
From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection. CoRR abs/2206.08260 (2022) - [i3]Yuni Lai, Kai Zhou:
How Fraudster Detection Contributes to Robust Recommendation. CoRR abs/2211.11534 (2022) - 2021
- [i2]Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jian Ren, Kai Zhou:
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection. CoRR abs/2106.09989 (2021) - 2020
- [j1]Yuni Lai, Linfeng Zhang, Donghong Han, Rui Zhou, Guoren Wang:
Fine-grained emotion classification of Chinese microblogs based on graph convolution networks. World Wide Web 23(5): 2771-2787 (2020)
2010 – 2019
- 2019
- [i1]Yuni Lai, Linfeng Zhang, Donghong Han, Rui Zhou, Guoren Wang:
Fine-Grained Emotion Classification of Chinese Microblogs Based on Graph Convolution Networks. CoRR abs/1912.02545 (2019)
Coauthor Index
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