Xiangshan Gao

According to our database, Xiangshan Gao authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Efficient Vertical Federated Unlearning via Fast Retraining.

Zichen Wang, Xiangshan Gao, Cong Wang, Peng Cheng, Jiming Chen

ACM Trans. Internet Techn., May, 2024

TeDA: A Testing Framework for Data Usage Auditing in Deep Learning Model Development.

Xiangshan Gao, Jialuo Chen, Jingyi Wang, Jie Shi, Peng Cheng, Jiming Chen

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.

Ji-Ming Chen, Xiangshan Gao, Ruilong Deng, Yang He, Chongrong Fang, Peng Cheng

IEEE Trans. Dependable Secur. Comput., 2022

VeriFi: Towards Verifiable Federated Unlearning.

Xiangshan Gao, Xingjun Ma, Jingyi Wang, Youcheng Sun, Bo Li, Shouling Ji, Peng Cheng, Jiming Chen

CoRR, 2022

TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors.

Ren Pang, Zheng Zhang, Xiangshan Gao, Zhaohan Xi, Shouling Ji, Peng Cheng, Xiapu Luo, Ting Wang

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).

Ren Pang, Zheng Zhang, Xiangshan Gao, Zhaohan Xi, Shouling Ji, Peng Cheng, Ting Wang

CoRR, 2020