Color Image Reversible Data Hiding With Double-Layer Embedding. - Zhenjun Tang; Hewang Nie; Chi-Man Pun; Heng Yao; Chunqiang Yu; Xianquan Zhang (IEEE Access, 2020)

Lightweight Byzantine-Robust and Privacy-Preserving Federated Learning. - Zhi Lu; Songfeng Lu; Yongquan Cui; Junjun Wu; Hewang Nie; Jue Xiao; Zepu Yi (Euro-Par (2), 2024)

VeriChroma: Ownership Verification for Federated Models via RGB Filters. - Hewang Nie; Songfeng Lu; Mu Wang; Jue Xiao; Zhi Lu; Zepu Yi (Euro-Par (2), 2024)

FedCRMW: Federated model ownership verification with compression-resistant model watermarking. - Hewang Nie; Songfeng Lu (Expert Syst. Appl., 2024)

PersistVerify: Federated model ownership verification with spatial attention and boundary sampling. - Hewang Nie; Songfeng Lu (Knowl. Based Syst., 2024)

Deep Model Intellectual Property Protection With Compression-Resistant Model Watermarking. - Hewang Nie; Songfeng Lu; Junjun Wu; Jianxin Zhu (IEEE Trans. Artif. Intell., 2024)

Securing IP in edge AI: neural network watermarking for multimodal models. - Hewang Nie; Songfeng Lu (Appl. Intell., 2024)

Optimized Dynamic Watermarking for Audio DNNs with Adaptive Embedding and Boundary Sampling. - Hao Fei 007; Hewang Nie; Siqi Sun; Songfeng Lu; Ting Luo; Ling Qian; Dunbo Cai; Zhiguo Huang; Runqing Zhang (ICASSP, 2025)

FedDiT: Federated Learning by Distillation Token Enhanced Vision Transformer. - Jue Xiao; Zepu Yi; Hewang Nie; Zhi Lu; Xueming Tang; Songfeng Lu; Zhiguo Huang; Runqing Zhang (ICASSP, 2025)

Secure industrial federated learning: Label encryption for model protection. - Xuemei Yuan; Hewang Nie (Eng. Appl. Artif. Intell., 2025)

Compression is no barrier: Dataset copyright protection with compression-resistant backdoor watermarks. - Hewang Nie; Xuemei Yuan (Inf. Process. Manag., 2025)

Beyond protection: Unveiling neural network copyright trading. - Xuemei Yuan; Hewang Nie (Knowl. Based Syst., 2025)

Federated learning with bilateral defense via blockchain. - Jue Xiao; Hewang Nie; Zepu Yi; Xueming Tang; Songfeng Lu (Neural Networks, 2025)