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 001; Ting Wang 006 (CoRR, 2020)

TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors. - Ren Pang; Zheng Zhang; Xiangshan Gao; Zhaohan Xi; Shouling Ji; Peng Cheng 001; Xiapu Luo; Ting Wang 006 (EuroS&P, 2022)

Generating Adversarial Examples Against Machine Learning-Based Intrusion Detector in Industrial Control Systems. - Ji-Ming Chen 001; Xiangshan Gao; Ruilong Deng; Yang He; Chongrong Fang; Peng Cheng 001 (IEEE Trans. Dependable Secur. Comput., 2022)

TeDA: A Testing Framework for Data Usage Auditing in Deep Learning Model Development. - Xiangshan Gao; Jialuo Chen; Jingyi Wang 004; Jie Shi; Peng Cheng 001; Jiming Chen 001 (ISSTA, 2024)

VeriFi: Towards Verifiable Federated Unlearning. - Xiangshan Gao; Xingjun Ma; Jingyi Wang 004; Youcheng Sun; Bo Li 026; Shouling Ji; Peng Cheng 001; Jiming Chen 001 (IEEE Trans. Dependable Secur. Comput., 2024)

Efficient Vertical Federated Unlearning via Fast Retraining. - Zichen Wang; Xiangshan Gao; Cong Wang; Peng Cheng 001; Jiming Chen 001 (ACM Trans. Internet Techn., 2024)