Copyright Protection and Accountability of Generative AI: Attack, Watermarking and Attribution. - Haonan Zhong; Jiamin Chang; Ziyue Yang; Tingmin Wu; Mahawaga Arachchige Pathum Chamikara; Chehara Pathmabandu; Minhui Xue 001 (WWW (Companion Volume), 2023)

A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services. - Hongsheng Hu; Shuo Wang 012; Jiamin Chang; Haonan Zhong; Ruoxi Sun 001; Shuang Hao 001; Haojin Zhu; Minhui Xue 001 (NDSS, 2024)

LACMUS: Latent Concept Masking for General Robustness Enhancement of DNNs. - Shuo Wang 012; Hongsheng Hu; Jiamin Chang; Benjamin Zi Hao Zhao; Minhui Xue 001 (SP, 2024)

DNN-GP: Diagnosing and Mitigating Model's Faults Using Latent Concepts. - Shuo Wang 012; Hongsheng Hu; Jiamin Chang; Benjamin Zi Hao Zhao; Qi Alfred Chen; Minhui Xue 001 (USENIX Security Symposium, 2024)

SoK: Unifying Cybersecurity and Cybersafety of Multimodal Foundation Models with an Information Theory Approach. - Ruoxi Sun 001; Jiamin Chang; Hammond Pearce; Chaowei Xiao; Bo Li 026; Qi Wu 001; Surya Nepal; Minhui Xue 001 (CoRR, 2024)

DeepP450: Predicting Human P450 Activities of Small Molecules by Integrating Pretrained Protein Language Model and Molecular Representation. - Jiamin Chang; Xiaoyu Fan; Boxue Tian (J. Chem. Inf. Model., 2024)

GLMCyp: A Deep Learning-Based Method for CYP450-Mediated Reaction Site Prediction. - Xuhai Huang; Jiamin Chang; Boxue Tian (J. Chem. Inf. Model., 2025)

What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept Shift. - Jiamin Chang; Haoyang Li; Hammond Pearce; Ruoxi Sun 001; Bo Li 026; Minhui Xue 001 (CoRR, 2025)