Kun Gao

Orcid: 0000-0003-1822-6617

Affiliations:

University of Technology Sydney, School of Computer Science, Centre for Cyber Security and Privacy, NSW, Australia

According to our database¹, Kun Gao authored at least 8 papers between 2023 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

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Bibliography

2026

Hidden Threats in Federated Unlearning: Camouflaged Poisoning Attacks and Their Unlearning Consequences.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2026

2025

Cooperating or Kicking Out: Defending Against Poisoning Attacks in Federated Learning via the Evolution of Cooperation.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2025

Federated Unlearning With Reinforcement Learning: Adaptive Privacy Preservation for Clients.

[BibT_eX]

[DOI]

J. Inf. Secur. Appl., 2025

Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning.

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[DOI]

Proceedings of the 34th USENIX Security Symposium, 2025

Reinforcement Unlearning.

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[DOI]

Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

2024

Defending Against Label-Only Attacks via Meta-Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2024

Defending against gradient inversion attacks in federated learning via statistical machine unlearning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

2023

Balancing Learning Model Privacy, Fairness, and Accuracy With Early Stopping Criteria.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Kun Gao

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