| 2026 | ACNS | ChatIot: Large Language Model-Based Security Assistant for Internet of Things with RAG. | Ye Dong, Yan Lin Aung, Sudipta Chattopadhyay, Jianying Zhou |
| 2026 | PKC | Secret-Shared Shuffle from Authenticated Correlations. | Xiangfu Song, Xiaojian Liang, Ye Dong, Jianli Bai, Pu Duan, Changyu Dong, Tianwei Zhang, Ee-Chien Chang |
| 2025 | ACNS | LAPIS: Layered Anomaly Detection System for IoT Security. | Cheng Wang, Yan Lin Aung, Ye Dong, Trupil Limbasiya, Jianying Zhou |
| 2025 | ACSAC | Mizar: Boosting Secure Three-Party Deep Learning with Co-Designed Sign-Bit Extraction and GPU Acceleration. | Ye Dong, Xudong Chen, Xiangfu Song, Yaxi Yang, Tianwei Zhang, Jinsong Dong |
| 2025 | WWW | FLock: Robust and Privacy-Preserving Federated Learning based on Practical Blockchain State Channels. | Ruonan Chen, Ye Dong, Yizhong Liu, Tingyu Fan, Dawei Li, Zhenyu Guan, Jianwei Liu, Jianying Zhou |
| 2025 | TrustCom | VCR: Fast Private Set Intersection with Improved VOLE and CRT-Batching. | Weizhan Jing, Xiaojun Chen, Xudong Chen, Ye Dong, Yaxi Yang, Qiang Liu |
| 2024 | ACSAC | Lightweight Secure Aggregation for Personalized Federated Learning with Backdoor Resistance. | Tingyu Fan, Xiaojun Chen, Ye Dong, Xudong Chen, Yuexin Xuan, Weizhan Jing |
| 2024 | TrustCom | GTree: GPU-friendly Privacy-preserving Decision Tree Training and Inference. | Qifan Wang, Shujie Cui, Lei Zhou, Ye Dong, Jianli Bai, Yun Sing Koh, Giovanni Russello |
| 2024 | SecureComm | An Effective Multiple Private Set Intersection. | Qiang Liu, Xiaojun Chen, Weizhan Jing, Ye Dong |
| 2023 | WWW | Meteor: Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs. | Ye Dong, Xiaojun Chen, Weizhan Jing, Kaiyun Li, Weiping Wang |
| 2022 | CVPR | DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints. | Zhendong Zhao, Xiaojun Chen, Yuexin Xuan, Ye Dong, Dakui Wang, Kaitai Liang |
| 2022 | DAC | ABNN | Liyan Shen, Ye Dong, Binxing Fang, Jinqiao Shi, Xuebin Wang, Shengli Pan, Ruisheng Shi |
| 2021 | ESORICS | FLOD: Oblivious Defender for Private Byzantine-Robust Federated Learning with Dishonest-Majority. | Ye Dong, Xiaojun Chen, Kaiyun Li, Dakui Wang, Shuai Zeng |
| 2020 | ESORICS | An Efficient 3-Party Framework for Privacy-Preserving Neural Network Inference. | Liyan Shen, Xiaojun Chen, Jinqiao Shi, Ye Dong, Binxing Fang |
| 2019 | ICICS | Privacy-Preserving Distributed Machine Learning Based on Secret Sharing. | Ye Dong, Xiaojun Chen, Liyan Shen, Dakui Wang |
| 2008 | HPCC | Three-Dimensional Parallel Electromagnetic Code with Complex Geometry. | Jun Chen, Ye Dong, Wenyuan Yang |