| 2025 | NSS | Prompt-in-Content Attacks: Exploiting Uploaded Inputs to Hijack LLM Behavior. | Zhuotao Lian, Weiyu Wang, Qingkui Zeng, Toru Nakanishi, Teruaki Kitasuka, Chunhua Su |
| 2025 | ProvSec | POSTER: Tricking LLM-Based NPCs into Spilling Secrets. | Kyohei Shiomi, Zhuotao Lian, Toru Nakanishi, Teruaki Kitasuka |
| 2025 | ProvSec | Privacy-Preserving LLM Agent for Multi-modal Health Monitoring. | Qipeng Xie, Jiafei Wu, Weiyu Wang, Zhuotao Lian, Mu Yuan, Xian Shuai, Weizheng Wang, Yuan Haoyi, Haibo Hu, Kaishun Wu |
| 2025 | ProvSec | POSTER: A Server-Side Proactive Defense Framework for Poison-Resilient Federated Learning. | Qingkui Zeng, Zhuotao Lian |
| 2025 | ProvSec | POSTER: AI-Based Physical Layer Key Generation Mechanism. | Hong Zhao, Zhuotao Lian, Xinsheng Wang, Enting Guo |
| 2023 | NSS | SPoiL: Sybil-Based Untargeted Data Poisoning Attacks in Federated Learning. | Zhuotao Lian, Chen Zhang, Kaixi Nan, Chunhua Su |
| 2022 | AsiaCCS | Decentralized Federated Learning for Internet of Things Anomaly Detection. | Zhuotao Lian, Chunhua Su |
| 2022 | ICDCS | Privacy-preserving Blockchain-based Global Data Sharing for Federated Learning with Non-IID Data. | Zhuotao Lian, Qingkui Zeng, Chunhua Su |