Guangsheng Zhang

Orcid: 0000-0002-9776-0529

Affiliations:

University of Technology Sydney, NSW, Australia

According to our database¹, Guangsheng Zhang authored at least 10 papers between 2022 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2025

Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers.

[BibT_eX]

[DOI]

CoRR, March, 2025

Cost-Efficient and Privacy-Preserving Synthesis of Complex Sensitive Data.

[BibT_eX]

[DOI]

Proceedings of the 2025 Australasian Computer Science Week, 2025

RAGLeak: Membership Inference Attacks on RAG-Based Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Information Security and Privacy - 30th Australasian Conference, 2025

2024

PPFed: A Privacy-Preserving and Personalized Federated Learning Framework.

[BibT_eX]

[DOI]

IEEE Internet Things J., June, 2024

How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers.

[BibT_eX]

[DOI]

Proceedings of the 33rd USENIX Security Symposium, 2024

When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Label-Only Membership Inference Attacks and Defenses in Semantic Segmentation Models.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2023

FD-MIA: Efficient Attacks on Fairness-enhanced Models.

[BibT_eX]

[DOI]

CoRR, 2023

2022

How Does a Deep Learning Model Architecture Impact Its Privacy?

[BibT_eX]

[DOI]

CoRR, 2022

Visual privacy attacks and defenses in deep learning: a survey.

[BibT_eX]

[DOI]

Artif. Intell. Rev., 2022

Guangsheng Zhang

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