Joshua C. Zhao
Orcid: 0000-0003-1868-0473
According to our database1,
Joshua C. Zhao
authored at least 9 papers
between 2021 and 2024.
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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
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023
2021
ACM Trans. Design Autom. Electr. Syst., 2021
TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks.
CoRR, 2021