| 2026 | ACL | CoTrust: Privacy-Preserving Collaboration Between Large and Small Language Models in Trusted Execution Environments. | Zhenya Ma, Tingyi Wang, Yongheng Deng, Ziqing Qiao, Yinggui Wang, Tao Wei, Lei Wang, Ju Ren |
| 2025 | ACL | GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models. | Kai Yao, Zhaorui Tan, Penglei Gao, Lichun Li, Kaixin Wu, Yinggui Wang, Yuan Zhao, Yixin Ji, Jianke Zhu, Wei Wang |
| 2025 | AsiaCCS | Transferable Adversarial Examples with Bayesian Approach. | Mingyuan Fan, Cen Chen, Wenmeng Zhou, Yinggui Wang |
| 2025 | EMNLP | A Fully Probabilistic Perspective on Large Language Model Unlearning: Evaluation and Optimization. | Anda Cheng, Wei Huang, Yinggui Wang |
| 2025 | EMNLP | Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning. | Wei Huang, Anda Cheng, Yinggui Wang |
| 2025 | EMNLP | DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment. | Wei Huang, Anda Cheng, Zhao Zhang, Yinggui Wang |
| 2025 | EMNLP | DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression. | Wei Huang, Huang Wei, Yinggui Wang |
| 2025 | IJCAI | Fine-grained Prompt Screening: Defending Against Backdoor Attack on Text-to-Image Diffusion Models. | Yiran Xu, Nan Zhong, Guobiao Li, Anda Cheng, Yinggui Wang, Zhenxing Qian, Xinpeng Zhang |
| 2024 | COLING | TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences. | Huimin Chen, Chengyu Wang, Yanhao Wang, Cen Chen, Yinggui Wang |
| 2024 | EMNLP | Privacy Evaluation Benchmarks for NLP Models. | Wei Huang, Yinggui Wang, Cen Chen |
| 2024 | ICASSP | A Fast, Performant, Secure Distributed Training Framework For LLM. | Wei Huang, Yinggui Wang, Anda Cheng, Aihui Zhou, Chaofan Yu, Lei Wang |
| 2024 | ICLR | Enhanced Face Recognition using Intra-class Incoherence Constraint. | Yuanqing Huang, Yinggui Wang, Le Yang, Lei Wang |
| 2024 | SDM | UPFL: Unsupervised Personalized Federated Learning towards New Clients. | Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao |
| 2023 | IJCAI | Privacy-Preserving End-to-End Spoken Language Understanding. | Yinggui Wang, Wei Huang, Le Yang |
| 2022 | AAAI | Privacy-Preserving Face Recognition in the Frequency Domain. | Yinggui Wang, Jian Liu, Man Luo, Le Yang, Li Wang |