Xiangshan Gao

Orcid: 0000-0001-8335-2746

According to our database1, Xiangshan Gao authored at least 8 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
A2E: Black-Box Anti-Adversarial Example Based Watermarking to Verify Federated Unlearning.
IEEE Trans. Dependable Secur. Comput., 2026

2025
"To Survive, I Must Defect": Jailbreaking LLMs via the Game-Theory Scenarios.
CoRR, November, 2025

2024
Efficient Vertical Federated Unlearning via Fast Retraining.
ACM Trans. Internet Techn., May, 2024

VeriFi: Towards Verifiable Federated Unlearning.
IEEE Trans. Dependable Secur. Comput., 2024

TeDA: A Testing Framework for Data Usage Auditing in Deep Learning Model Development.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

2022
Generating Adversarial Examples Against Machine Learning-Based Intrusion Detector in Industrial Control Systems.
IEEE Trans. Dependable Secur. Comput., 2022

TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors.
Proceedings of the 7th IEEE European Symposium on Security and Privacy, 2022

2020
TROJANZOO: Everything you ever wanted to know about neural backdoors (but were afraid to ask).
CoRR, 2020


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