Yuanyuan He

Orcid: 0000-0001-6706-4859

Affiliations:

Huazhong University of Science and Technology, School of Cyber Science and Engineering, China
Chinese Academy of Sciences, School of Cyber Security, Institute of Information Engineering, Beijing, China (PhD 2019)
University of Waterloo, Waterloo, ON, Canada (2016-2018)

According to our database¹, Yuanyuan He authored at least 27 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

RSAM: Byzantine-Robust and Secure Model Aggregation in Federated Learning for Internet of Vehicles Using Private Approximate Median.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., May, 2024

PriMonitor: An adaptive tuning privacy-preserving approach for multimodal emotion detection.

[BibT_eX]

[DOI]

World Wide Web (WWW), January, 2024

Differentially Private Federated Tensor Completion for Cloud-Edge Collaborative AIoT Data Prediction.

[BibT_eX]

[DOI]

IEEE Internet Things J., January, 2024

A game-theoretic approach for federated learning: A trade-off among privacy, accuracy and energy.

[BibT_eX]

[DOI]

Digit. Commun. Networks, 2024

Bypassing DARCY Defense: Indistinguishable Universal Adversarial Triggers.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Verifiable and Privacy-Preserving Ad Exchange for Smart Targeted Advertising.

[BibT_eX]

[DOI]

Proceedings of the 20th Annual International Conference on Privacy, Security and Trust, 2023

2022

Low-Complexity Phased-Array Physical Layer Security in Millimeter-Wave Communication for Cybertwin-Driven V2X Applications.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2022

Differentially Private Tripartite Intelligent Matching Against Inference Attacks in Ride-Sharing Services.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Differentially Private Set Intersection for Asymmetrical ID Alignment.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2022

Privacy-Preserving Robust Federated Learning with Distributed Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Trust, 2022

BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Crafting Text Adversarial Examples to Attack the Deep-Learning-based Malicious URL Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2022

Securing E-Petition: A Privacy-Preserving Fine-Grained Electronic Petition System for Health and Political Petitions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2022

Ordinal Data Stream Collection with Condensed Local Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2020

Privbus: A privacy-enhanced crowdsourced bus service via fog computing.

[BibT_eX]

[DOI]

Xuemin (Sherman) Shen

J. Parallel Distributed Comput., 2020

2018

Privacy-Preserving Partner Selection for Ride-Sharing Services.