| 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 | 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 | ICASSP | A Fast, Performant, Secure Distributed Training Framework For LLM. | Wei Huang, Yinggui Wang, Anda Cheng, Aihui Zhou, Chaofan Yu, Lei Wang |
| 2023 | ICASSP | APGP: Accuracy-Preserving Generative Perturbation for Defending Against Model Cloning Attacks. | Anda Cheng, Jian Cheng |
| 2022 | AAAI | DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy. | Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng |
| 2022 | CVPR | Differentially Private Federated Learning with Local Regularization and Sparsification. | Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng |