| 2026 | AAAI | One for All: Synthesis-Free Fingerprint Learning for Attribution of In-the-Wild Synthetic Images. | Jianwei Fei, Yunshu Dai, Peipeng Yu, Zhihua Xia, Dasara Shullani, Daniele Baracchi, Alessandro Piva |
| 2025 | AAAI | OmniMark: Efficient and Scalable Latent Diffusion Model Fingerprinting. | Jianwei Fei, Yunshu Dai, Zhihua Xia, Fangjun Huang, Jiantao Zhou |
| 2025 | ICCV | Scalable Dual Fingerprinting for Hierarchical Attribution of Text-to-Image Models. | Jianwei Fei, Yunshu Dai, Peipeng Yu, Zhe Kong, Jiantao Zhou, Zhihua Xia |
| 2025 | ICML | Robust Secure Swap: Responsible Face Swap With Persons of Interest Redaction and Provenance Traceability. | Yunshu Dai, Jianwei Fei, Fangjun Huang, Chip Hong Chang |
| 2025 | ICML | Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection. | Peipeng Yu, Jianwei Fei, Hui Gao, Xuan Feng, Zhihua Xia, Chip-Hong Chang |
| 2024 | CVPR | IDGuard: Robust, General, Identity-Centric POI Proactive Defense Against Face Editing Abuse. | Yunshu Dai, Jianwei Fei, Fangjun Huang |
| 2022 | CVPR | Learning Second Order Local Anomaly for General Face Forgery Detection. | Jianwei Fei, Yunshu Dai, Peipeng Yu, Tianrun Shen, Zhihua Xia, Jian Weng |
| 2022 | ICANN | Attentional Local Contrastive Learning for Face Forgery Detection. | Yunshu Dai, Jianwei Fei, Huaming Wang, Zhihua Xia |