Yuni Lai

Orcid: 0000-0002-2295-912X

According to our database¹, Yuni Lai authored at least 13 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2024

Collective Certified Robustness against Graph Injection Attacks.

[BibT_eX]

[DOI]

CoRR, 2024

Adversarially Robust Signed Graph Contrastive Learning from Balance Augmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Universally Robust Graph Neural Networks by Preserving Neighbor Similarity.

[BibT_eX]

[DOI]

CoRR, 2024

2023

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

[BibT_eX]

[DOI]

IEEE Internet Things J., August, 2023

Cost Aware Untargeted Poisoning Attack against Graph Neural Networks, .

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Dual-Space Attacks against Random-Walk-based Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2023

2022

How Fraudster Detection Contributes to Robust Recommendation.

[BibT_eX]

[DOI]

Yuni Lai

Kai Zhou

CoRR, 2022

From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

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

2020

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

[BibT_eX]

[DOI]

World Wide Web, 2020

Yuni Lai

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