2025 WWW Navigating the Designs of Privacy-Preserving Fine-tuning for Large Language Models Haonan Shi, Tu Ouyang, and An Wang In International World Wide Web Conference (WWW), 2025 arXiv PDF PoPETS Unveiling Client Privacy Leakage from Public Dataset Usage in Federated Distillation Haonan Shi, Tu Ouyang, and An Wang In Proceedings on Privacy Enhancing Technologies (PoPETS), 2025 arXiv PDF 2024 EuroS&P Learning-Based Difficulty Calibration for Enhanced Membership Inference Attacks Haonan Shi, Tu Ouyang, and An Wang In IEEE 9th European Symposium on Security and Privacy (EuroS&P), 2024 DOI arXiv PDF 2023 Arxiv A Trajectory K-Anonymity Model Based on Point Density and Partition Wanshu Yu, Haonan Shi, and Hongyun Xu In Arxiv, 2023 arXiv PDF
