Yang Xiao
Orcid: 0000-0002-0946-3197Affiliations:
- University of Kentucky, Department of Computer Science, Lexington, KY, USA
- Virginia Tech, Blacksburg, VA, USA (PhD 2022)
According to our database1,
Yang Xiao authored at least 34 papers
between 2019 and 2026.
Collaborative distances:
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Online presence:
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
2026
IU-GUARD: Privacy-Preserving Spectrum Coordination for Incumbent Users under Dynamic Spectrum Sharing.
CoRR, February, 2026
CoRR, January, 2026
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026
2025
IEEE Internet Things J., June, 2025
Two Heads Are Better than One: Model-Weight and Latent-Space Analysis for Federated Learning on Non-iid Data against Poisoning Attacks.
CoRR, March, 2025
FLARE: Defending Federated Learning Against Model Poisoning Attacks via Latent Space Representations.
IEEE Trans. Dependable Secur. Comput., 2025
Buffer is All You Need: Defending Federated Learning against Backdoor Attacks under Non-iids via Buffering.
Proceedings of the 24th IEEE International Conference on Trust, 2025
Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction.
Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025
BoBa: Boosting Backdoor Detection Through Data Distribution Inference in Federated Learning.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025
Closing the Visibility Gap: A Monitoring Framework for Verifiable Open RAN Operations.
Proceedings of the IEEE Conference on Communications and Network Security, 2025
2024
BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning.
CoRR, 2024
AAKA: An Anti-Tracking Cellular Authentication Scheme Leveraging Anonymous Credentials.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024
Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024
2023
IEEE Trans. Cogn. Commun. Netw., August, 2023
IEEE Trans. Dependable Secur. Comput., 2023
IEEE Trans. Dependable Secur. Comput., 2023
CANShield: Deep-Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal Level.
IEEE Internet Things J., 2023
Proceedings of the 16th ACM Conference on Security and Privacy in Wireless and Mobile Networks, 2023
Proceedings of the 32nd USENIX Security Symposium, 2023
Proceedings of the 32nd USENIX Security Symposium, 2023
Proceedings of the IEEE INFOCOM 2023, 2023
Proceedings of the Computer Security - ESORICS 2023, 2023
Rethinking Single Sign-On: A Reliable and Privacy-Preserving Alternative with Verifiable Credentials.
Proceedings of the 10th ACM Workshop on Moving Target Defense, 2023
2022
IEEE Wirel. Commun., 2022
FLARE: Defending Federated Learning against Model Poisoning Attacks via Latent Space Representations.
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022
Squeezing More Utility via Adaptive Clipping on Differentially Private Gradients in Federated Meta-Learning.
Proceedings of the Annual Computer Security Applications Conference, 2022
2021
IEEE Internet Things J., 2021
2020
IEEE Trans. Wirel. Commun., 2020
IEEE Commun. Surv. Tutorials, 2020
Modeling the Impact of Network Connectivity on Consensus Security of Proof-of-Work Blockchain.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
PrivacyGuard: Enforcing Private Data Usage Control with Blockchain and Attested Off-Chain Contract Execution.
Proceedings of the Computer Security - ESORICS 2020, 2020
Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020
2019
Enforcing Private Data Usage Control with Blockchain and Attested Off-chain Contract Execution.
CoRR, 2019