Rui Zhang

Orcid: 0000-0001-7885-5103

Affiliations:

Zhejiang University, School of Mathematical Sciences, Hangzhou, China

According to our database¹, Rui Zhang authored at least 12 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Toward Federated Learning of Deep Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., March, 2026

2025

Amulet: a Python Library for Assessing Interactions Among ML Defenses and Risks.

[BibT_eX]

[DOI]

CoRR, September, 2025

Combining Machine Learning Defenses without Conflicts.

[BibT_eX]

[DOI]

Vasisht Duddu

Rui Zhang

N. Asokan

Trans. Mach. Learn. Res., 2025

Attributed Graph Clustering in Collaborative Settings.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2025

Espresso: Robust Concept Filtering in Text-to-Image Models.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth ACM Conference on Data and Application Security and Privacy, 2025

2024

${\sf FederBoost}$: Private Federated Learning for GBDT.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2024

False Claims against Model Ownership Resolution.

[BibT_eX]

[DOI]

Proceedings of the 33rd USENIX Security Symposium, 2024

PrivRE: Regular Expression Matching for Encrypted Packet Inspection.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

2023

On the Robustness of Dataset Inference.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

2022

"Adversarial Examples" for Proof-of-Learning.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

2021

"Adversarial Examples" for Proof-of-Learning.

[BibT_eX]

[DOI]

CoRR, 2021

2020

FederBoost: Private Federated Learning for GBDT.

[BibT_eX]

[DOI]

CoRR, 2020

Rui Zhang

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Bibliography

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