Joshua C. Zhao

Orcid: 0000-0003-1868-0473

According to our database1, Joshua C. Zhao authored at least 9 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Federated Learning Privacy: Attacks, Defenses, Applications, and Policy Landscape - A Survey.
CoRR, 2024

Loki: Large-scale Data Reconstruction Attack against Federated Learning through Model Manipulation.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Secure Aggregation in Federated Learning is not Private: Leaking User Data at Large Scale through Model Modification.
CoRR, 2023

How to Learn Collaboratively - Federated Learning to Peer-to-Peer Learning and What's at Stake.
Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023

The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FLAIR: Defense against Model Poisoning Attack in Federated Learning.
Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

2021
Thermal Management for FPGA Nodes in HPC Systems.
ACM Trans. Design Autom. Electr. Syst., 2021

TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks.
CoRR, 2021


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