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2020 – today
- 2026
[j4]Xiangshan Gao
, Jingyi Wang, Zhikun Zhang, Jialuo Chen, Peng Cheng, Jiming Chen:
A2E: Black-Box Anti-Adversarial Example Based Watermarking to Verify Federated Unlearning. IEEE Trans. Dependable Secur. Comput. 23(1): 66-81 (2026)- 2025
- [i3]Zhen Sun, Zongmin Zhang, Deqi Liang, Han Sun, Yule Liu, Yun Shen, Xiangshan Gao, Yilong Yang, Shuai Liu, Yutao Yue, Xinlei He:
"To Survive, I Must Defect": Jailbreaking LLMs via the Game-Theory Scenarios. CoRR abs/2511.16278 (2025) - 2024
- [j3]Xiangshan Gao, Xingjun Ma, Jingyi Wang, Youcheng Sun, Bo Li, Shouling Ji, Peng Cheng, Jiming Chen:
VeriFi: Towards Verifiable Federated Unlearning. IEEE Trans. Dependable Secur. Comput. 21(6): 5720-5736 (2024) - [j2]Zichen Wang, Xiangshan Gao, Cong Wang, Peng Cheng, Jiming Chen:
Efficient Vertical Federated Unlearning via Fast Retraining. ACM Trans. Internet Techn. 24(2): 11:1-11:22 (2024) - [c2]Xiangshan Gao, Jialuo Chen, Jingyi Wang, Jie Shi, Peng Cheng, Jiming Chen:
TeDA: A Testing Framework for Data Usage Auditing in Deep Learning Model Development. ISSTA 2024: 1479-1490 - 2022
- [j1]Ji-Ming Chen, Xiangshan Gao, Ruilong Deng, Yang He, Chongrong Fang, Peng Cheng:
Generating Adversarial Examples Against Machine Learning-Based Intrusion Detector in Industrial Control Systems. IEEE Trans. Dependable Secur. Comput. 19(3): 1810-1825 (2022) - [c1]Ren Pang, Zheng Zhang, Xiangshan Gao, Zhaohan Xi, Shouling Ji, Peng Cheng, Xiapu Luo, Ting Wang:
TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors. EuroS&P 2022: 684-702 - [i2]Xiangshan Gao, Xingjun Ma, Jingyi Wang, Youcheng Sun, Bo Li, Shouling Ji, Peng Cheng, Jiming Chen:
VeriFi: Towards Verifiable Federated Unlearning. CoRR abs/2205.12709 (2022) - 2020
- [i1]Ren Pang, Zheng Zhang, Xiangshan Gao, Zhaohan Xi, Shouling Ji, Peng Cheng, Ting Wang:
TROJANZOO: Everything you ever wanted to know about neural backdoors (but were afraid to ask). CoRR abs/2012.09302 (2020)
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