Three-Dimensional Parallel Electromagnetic Code with Complex Geometry. - Jun Chen; Ye Dong; Wenyuan Yang (HPCC, 2008)

Efficient and Private Set Intersection of Human Genomes. - Liyan Shen; Xiaojun Chen 004; Dakui Wang; Binxing Fang; Ye Dong (BIBM, 2018)

Privacy-Preserving Distributed Machine Learning Based on Secret Sharing. - Ye Dong; Xiaojun Chen 004; Liyan Shen; Dakui Wang (ICICS, 2019)

Privacy-Preserving Distributed Machine Learning based on Secret Sharing. - Ye Dong; Xiaojun Chen 004; Liyan Shen (IACR Cryptol. ePrint Arch., 2019)

An Efficient 3-Party Framework for Privacy-Preserving Neural Network Inference. - Liyan Shen; Xiaojun Chen 004; Jinqiao Shi; Ye Dong; Binxing Fang (ESORICS (1), 2020)

EaSTFLy: Efficient and secure ternary federated learning. - Ye Dong; Xiaojun Chen 004; Liyan Shen; Dakui Wang (Comput. Secur., 2020)

Robust finite-time adaptive control algorithm for satellite fast attitude maneuver. - Ye Dong; Li You; Xiao Bing; Li Wene (J. Frankl. Inst., 2020)

Efficient Byzantine-Resilient Stochastic Gradient Desce. - Kaiyun Li; Xiaojun Chen 004; Ye Dong; Peng Zhang 001; Dakui Wang; Shuai Zeng (CoRR, 2021)

FLOD: Oblivious Defender for Private Byzantine-Robust Federated Learning with Dishonest-Majority. - Ye Dong; Xiaojun Chen 004; Kaiyun Li; Dakui Wang; Shuai Zeng (IACR Cryptol. ePrint Arch., 2021)

DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints. - Zhendong Zhao; Xiaojun Chen 004; Yuexin Xuan; Ye Dong; Dakui Wang; Kaitai Liang (CVPR, 2022)

ABNN2: secure two-party arbitrary-bitwidth quantized neural network predictions. - Liyan Shen; Ye Dong; Binxing Fang; Jinqiao Shi; Xuebin Wang; Shengli Pan 001; Ruisheng Shi (DAC, 2022)

Distributed Fog Computing and Federated-Learning-Enabled Secure Aggregation for IoT Devices. - Yiran Liu; Ye Dong; Hao Wang 007; Han Jiang 001; Qiuliang Xu (IEEE Internet Things J., 2022)

Practical and General Backdoor Attacks Against Vertical Federated Learning. - Yuexin Xuan; Xiaojun Chen 004; Zhendong Zhao; Bisheng Tang; Ye Dong (ECML/PKDD (2), 2023)

PUMA: Secure Inference of LLaMA-7B in Five Minutes. - Ye Dong; Wen-jie Lu; Yancheng Zheng; Haoqi Wu; Derun Zhao; Jin Tan; Zhicong Huang; Cheng Hong 001; Tao Wei 002; Wenguang Chen (CoRR, 2023)

Meteor: Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs. - Ye Dong; Xiaojun Chen 004; Weizhan Jing; Kaiyun Li; Weiping Wang 005 (IACR Cryptol. ePrint Arch., 2023)

FlexBNN: Fast Private Binary Neural Network Inference With Flexible Bit-Width. - Ye Dong; Xiaojun Chen 004; Xiangfu Song; Kaiyun Li (IEEE Trans. Inf. Forensics Secur., 2023)

Lightweight Secure Aggregation for Personalized Federated Learning with Backdoor Resistance. - Tingyu Fan; Xiaojun Chen; Ye Dong; Xudong Chen; Yuexin Xuan; Weizhan Jing (ACSAC, 2024)

Roger: A Round Optimized GPU-Friendly Secure Inference Framework. - Xudong Chen; Xiaojun Chen 004; Ye Dong; Weizhan Jing; Tingyu Fan; Qinghui Zhang (ICC, 2024)

Comet: Communication-Efficient Batch Secure Three-Party Neural Network Inference with Client-Aiding. - Tingyu Fan; Xiaojun Chen 004; Ye Dong; Xudong Chen; Weizhan Jing (ICC, 2024)

GTree: GPU-friendly Privacy-preserving Decision Tree Training and Inference. - Qifan Wang 003; Shujie Cui; Lei Zhou; Ye Dong; Jianli Bai; Yun Sing Koh; Giovanni Russello (TrustCom, 2024)

Few-Shot Relation Extraction Through Prompt With Relation Information and Multi-Level Contrastive Learning. - Ye Dong; Rong Yang; Junbao Liu; Xizhong Qin (IEEE Access, 2024)

FLock: Robust and Privacy-Preserving Federated Learning based on Practical Blockchain State Channels. - Ruonan Chen; Ye Dong; Yizhong Liu; Tingyu Fan; Dawei Li 009; Zhenyu Guan; Jianwei Liu 001; Jianying Zhou 001 (IACR Cryptol. ePrint Arch., 2024)

PODI: A Private Object Detection Inference framework for autonomous vehicles. - Min Ma; Yu Fu; Ye Dong; Ximeng Liu; Kai Huang (Knowl. Based Syst., 2024)

FedShelter: Efficient privacy-preserving federated learning with poisoning resistance for resource-constrained IoT network. - Tingyu Fan; Xiaojun Chen 004; Xudong Chen; Ye Dong; Weizhan Jing; Zhendong Zhao (Comput. Networks, 2025)

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; Jin-Song Dong (IACR Cryptol. ePrint Arch., 2025)

VCR: Fast Private Set Intersection with Improved VOLE and CRT-Batching. - Weizhan Jing; Xiaojun Chen; Xudong Chen; Ye Dong; Yaxi Yang; Qiang Liu (IACR Cryptol. ePrint Arch., 2025)

Helix: Scalable Multi-Party Machine Learning Inference against Malicious Adversaries. - Yansong Zhang; Xiaojun Chen; Qinghui Zhang; Ye Dong; Xudong Chen (IACR Cryptol. ePrint Arch., 2025)

Maliciously Secure Circuit Private Set Intersection via SPDZ-Compatible Oblivious PRF. - Yaxi Yang; Xiaojian Liang; Xiangfu Song; Ye Dong; Linting Huang; Hongyu Ren; Changyu Dong; Jianying Zhou 001 (Proc. Priv. Enhancing Technol., 2025)

MD-SONIC: Maliciously-Secure Outsourcing Neural Network Inference With Reduced Online Communication. - Yansong Zhang; Xiaojun Chen 004; Ye Dong; Qinghui Zhang; Rui Hou 001; Qiang Liu; Xudong Chen (IEEE Trans. Inf. Forensics Secur., 2025)

Model predictive control for pose synchronization of satellite proximity via the Takagi-Sugeno fuzzy modeling method. - Sun Chuqi; Xiao Yan; Ye Dong; Junyan Hou; Zhaowei Sun (Trans. Inst. Meas. Control, 2025)

MPCache: MPC-Friendly KV Cache Eviction for Efficient Private Large Language Model Inference. - Wenxuan Zeng; Ye Dong; Jinjin Zhou; Junming Ma; Jin Tan; Runsheng Wang; Meng Li 004 (CoRR, 2025)

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs. - Yongming Fan; Rui Zhu; Zihao Wang; Chenghong Wang; Haixu Tang; Ye Dong; Hyunghoon Cho; Lucila Ohno-Machado (CoRR, 2025)

Generative AI for Internet of Things Security: Challenges and Opportunities. - Yan Lin Aung; Ivan Christian; Ye Dong; Xiaodong Ye; Sudipta Chattopadhyay 001; Jianying Zhou 001 (CoRR, 2025)

ChatIoT: Large Language Model-based Security Assistant for Internet of Things with Retrieval-Augmented Generation. - Ye Dong; Yan Lin Aung; Sudipta Chattopadhyay 001; Jianying Zhou 001 (CoRR, 2025)

SecFwT: Efficient Privacy-Preserving Fine-Tuning of Large Language Models Using Forward-Only Passes. - Jinglong Luo; Zhuo Zhang 007; Yehong Zhang; Shiyu Liu; Ye Dong; Xun Zhou 001; Hui Wang 013; Yue Yu 001; Zenglin Xu (CoRR, 2025)