Jing Xu

Orcid: 0000-0002-9900-4081

Affiliations:
  • Delft University of Technology, Netherlands


According to our database1, Jing Xu authored at least 16 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Connecting the dots: Exploring backdoor attacks on graph neural networks.
PhD thesis, 2025

2024
Unveiling the Threat: Investigating Distributed and Centralized Backdoor Attacks in Federated Graph Neural Networks.
DTRAP, 2024

2023
Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks for Tabular Data.
CoRR, 2023

BlindSage: Label Inference Attacks against Node-level Vertical Federated Graph Neural Networks.
CoRR, 2023

A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification.
CoRR, 2023

Rethinking the Trigger-injecting Position in Graph Backdoor Attack.
Proceedings of the International Joint Conference on Neural Networks, 2023

Watermarking Graph Neural Networks based on Backdoor Attacks.
Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023

Poster: Multi-target & Multi-trigger Backdoor Attacks on Graph Neural Networks.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022
More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks.
CoRR, 2022

Can You Hear It?: Backdoor Attacks via Ultrasonic Triggers.
Proceedings of the WiseML@WiSec 2022: Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning, 2022

Poster: Clean-label Backdoor Attack on Graph Neural Networks.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

Label-Only Membership Inference Attack against Node-Level Graph Neural Networks.
Proceedings of the 15th ACM Workshop on Artificial Intelligence and Security, 2022

More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks.
Proceedings of the Annual Computer Security Applications Conference, 2022

2021
Watermarking Graph Neural Networks based on Backdoor Attacks.
CoRR, 2021

A Multi-Sensor Information Fusion Method Based on Factor Graph for Integrated Navigation System.
IEEE Access, 2021

Explainability-based Backdoor Attacks Against Graph Neural Networks.
Proceedings of the WiseML@WiSec 2021: Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning, 2021


  Loading...