Xiangrui Xu
Orcid: 0000-0003-3759-4706Affiliations:
- Beijing Jiaotong University, Beijing, China
  According to our database1,
  Xiangrui Xu
  authored at least 16 papers
  between 2019 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
- 
    on orcid.org
On csauthors.net:
Bibliography
  2025
X-VFL: A New Vertical Federated Learning Framework with Cross Completion and Decision Subspace Alignment.
    
  
    CoRR, August, 2025
    
  
Two-in-One Solution: Simultaneously Enhancing Security and Privacy for Data-Driven Models in Mobile Edge Computing.
    
  
    IEEE Trans. Consumer Electron., May, 2025
    
  
Enhancing Privacy in Distributed Intelligent Vehicles With Information Bottleneck Theory.
    
  
    IEEE Internet Things J., March, 2025
    
  
FedEditor: Efficient and Effective Federated Unlearning in Cooperative Intelligent Transportation Systems.
    
  
    IEEE Trans. Inf. Forensics Secur., 2025
    
  
    IEEE Trans. Inf. Forensics Secur., 2025
    
  
Finding the PISTE: Towards Understanding Privacy Leaks in Vertical Federated Learning Systems.
    
  
    IEEE Trans. Dependable Secur. Comput., 2025
    
  
DMRP: Privacy-Preserving Deep Learning Model with Dynamic Masking and Random Permutation.
    
  
    J. Inf. Secur. Appl., 2025
    
  
  2024
Assessing Membership Leakages via Task-Aligned Divergent Shadow Data Sets in Vehicular Road Cooperation.
    
  
    IEEE Internet Things J., November, 2024
    
  
    Proceedings of the ACM Turing Award Celebration Conference 2024, 2024
    
  
    Proceedings of the ACM Turing Award Celebration Conference 2024, 2024
    
  
  2023
CGIR: Conditional Generative Instance Reconstruction Attacks Against Federated Learning.
    
  
    IEEE Trans. Dependable Secur. Comput., 2023
    
  
  2022
Threats, attacks and defenses to federated learning: issues, taxonomy and perspectives.
    
  
    Cybersecur., 2022
    
  
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs.
    
  
    Proceedings of the IEEE International Conference on Big Data, 2022
    
  
  2021
  2020
  2019
    CoRR, 2019