| 2025 | SP | GRID: Protecting Training Graph from Link Stealing Attacks on GNN Models. | Jiadong Lou, Xu Yuan, Rui Zhang, Xingliang Yuan, Neil Zhenqiang Gong, Nian-Feng Tzeng |
| 2024 | CIKM | Towards Robust Vision Transformer via Masked Adaptive Ensemble. | Fudong Lin, Jiadong Lou, Xu Yuan, Nian-Feng Tzeng |
| 2023 | AsiaCCS | Data Privacy Examination against Semi-Supervised Learning. | Jiadong Lou, Xu Yuan, Miao Pan, Hao Wang, Nian-Feng Tzeng |
| 2023 | DSN | Devils in Your Apps: Vulnerabilities and User Privacy Exposure in Mobile Notification Systems. | Jiadong Lou, Xiaohan Zhang, Yihe Zhang, Xinghua Li, Xu Yuan, Ning Zhang |
| 2021 | CCS | Reverse Attack: Black-box Attacks on Collaborative Recommendation. | Yihe Zhang, Xu Yuan, Jin Li, Jiadong Lou, Li Chen, Nian-Feng Tzeng |
| 2020 | ESORICS | Towards Poisoning the Neural Collaborative Filtering-Based Recommender Systems. | Yihe Zhang, Jiadong Lou, Li Chen, Xu Yuan, Jin Li, Tom Johnsten, Nian-Feng Tzeng |
| 2020 | INFOCOM | AoI and Throughput Tradeoffs in Routing-aware Multi-hop Wireless Networks. | Jiadong Lou, Xu Yuan, Sastry Kompella, Nian-Feng Tzeng |
| 2020 | SECON | Instant AoI Optimization in IoT Networks with Packet Combination. | Jiadong Lou, Xu Yuan, Nian-Feng Tzeng |