Bowen Zhao
Orcid: 0000-0001-9864-9729Affiliations:
- Xidian University, China
- South China University of Technology, Guangzhou, China (PhD 2020)
According to our database1,
Bowen Zhao
authored at least 31 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
RATE: Privacy-Preserving Task Assignment With Bi-Objective Optimization for Mobile Crowdsensing.
IEEE Trans. Mob. Comput., December, 2024
IEEE Trans. Cybern., June, 2024
IEEE Comput. Intell. Mag., February, 2024
IEEE Trans. Inf. Forensics Secur., 2024
MODEL: A Model Poisoning Defense Framework for Federated Learning via Truth Discovery.
IEEE Trans. Inf. Forensics Secur., 2024
STDA: Secure Time Series Data Analytics With Practical Efficiency in Wide-Area Network.
IEEE Trans. Inf. Forensics Secur., 2024
IEEE Trans. Dependable Secur. Comput., 2024
CoRR, 2024
Proceedings of the IEEE Symposium on Security and Privacy, 2024
2023
IEEE Trans. Reliab., December, 2023
IEEE Trans. Cybern., November, 2023
IEEE Trans. Mob. Comput., August, 2023
Privacy-preserving association rule mining via multi-key fully homomorphic encryption.
J. King Saud Univ. Comput. Inf. Sci., February, 2023
IEEE Trans. Inf. Forensics Secur., 2023
CoRR, 2023
2022
IEEE Trans. Inf. Forensics Secur., 2022
P<sup>2</sup>SIM: Privacy-Preserving and Source-Reliable Incentive Mechanism for Mobile Crowdsensing.
IEEE Internet Things J., 2022
An Anonymous Reputation Management System for Mobile Crowdsensing Based on Dual Blockchain.
IEEE Internet Things J., 2022
Return just your search: privacy-preserving homoglyph search for arbitrary languages.
Frontiers Comput. Sci., 2022
Evolution as a Service: A Privacy-Preserving Genetic Algorithm for Combinatorial Optimization.
CoRR, 2022
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2022
2021
IEEE Trans. Mob. Comput., 2021
PACE: Privacy-Preserving and Quality-Aware Incentive Mechanism for Mobile Crowdsensing.
IEEE Trans. Mob. Comput., 2021
BRAKE: Bilateral Privacy-Preserving and Accurate Task Assignment in Fog-Assisted Mobile Crowdsensing.
IEEE Syst. J., 2021
IEEE Internet Things J., 2021
When Crowdsensing Meets Federated Learning: Privacy-Preserving Mobile Crowdsensing System.
CoRR, 2021
2020
IronM: Privacy-Preserving Reliability Estimation of Heterogeneous Data for Mobile Crowdsensing.
IEEE Internet Things J., 2020
Comput. Networks, 2020
2019
IEEE Access, 2019