Ye Dong

57 papers A* 4A 2B 2C 2Journal 39Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
1D3V electrostatic implicit particle simulation method in spherical axisymmetric geometry.
Comput. Phys. Commun.
Mengmeng Song, Wei Yang, Qiang Sun, Zhaohui Liu, Ziming Wang, Ye Dong, Hantian Zhang, Qianhong Zhou
2026 J jnl
Alkaid: Accelerating Three-Party Boolean Circuits by Mixing Correlations and Redundancy.
IEEE Trans. Inf. Forensics Secur.
Ye Dong, Xudong Chen, Xiangfu Song, Yaxi Yang, Wen-jie Lu, Tianwei Zhang, Jianying Zhou, Jin Song Dong
2026 J jnl
Cryptography-based privacy-preserving large language models: a lifecycle survey of frameworks, methods, and future directions.
Artif. Intell. Rev.
Jinglong Luo, Yehong Zhang, Zhuo Zhang, Shiyu Liu, Ye Dong, Haoran Li, Yue Yu, Hui Wang, Xun Zhou, Zenglin Xu
2026 J jnl
Fast Unbalanced Private Computation on Set Intersection from Permuted Multi-Query Private Membership Test.
IACR Cryptol. ePrint Arch.
Weizhan Jing, Xiaojun Chen, Xudong Chen, Ye Dong, Yaxi Yang, Qiang Liu
2026 J jnl
JAGUAR: Efficient and Secure Unbalanced PSI under Malicious Adversaries in the Client-Server Setting.
IACR Cryptol. ePrint Arch.
Weizhan Jing, Xiaojun Chen, Xudong Chen, Ye Dong, Qiang Liu, Tingyu Fan
2026 J jnl
JAGUAR: efficient and secure unbalanced PSI under malicious adversaries in the client-server setting.
Cybersecur.
Weizhan Jing, Xiaojun Chen, Xudong Chen, Ye Dong, Qiang Liu, Tingyu Fan
2026 J jnl
M&M: Secure Two-Party Machine Learning Through Modulus Conversion and Mixed-Mode Protocols.
IEEE Trans. Dependable Secur. Comput.
Ye Dong, Wen-jie Lu, Xiaoyang Hou, Kang Yang, Jian Liu
2025 J jnl
ALIOTH: An Efficient and Secure Weight-of-Evidence Framework for Privacy-Preserving Data Processing.
IACR Cryptol. ePrint Arch.
Ye Dong, Xiangfu Song, W. j Lu, Xudong Chen, Yaxi Yang, Ruonan Chen, Tianwei Zhang, Jin-Song Dong
2025 J jnl
ALKAID: Accelerating Three-Party Boolean Circuits by Mixing Correlations and Redundancy.
IACR Cryptol. ePrint Arch.
Ye Dong, Xudong Chen, Xiangfu Song, Yaxi Yang, Wen-jie Lu, Tianwei Zhang, Jianying Zhou, Jinsong Dong
2025 J jnl
ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs.
CoRR
Yongming Fan, Rui Zhu, Zihao Wang, Chenghong Wang, Haixu Tang, Ye Dong, Hyunghoon Cho, Lucila Ohno-Machado
2025 J jnl
ChatIoT: Large Language Model-based Security Assistant for Internet of Things with Retrieval-Augmented Generation.
CoRR
Ye Dong, Yan Lin Aung, Sudipta Chattopadhyay, Jianying Zhou
2025 A* conf
FLock: Robust and Privacy-Preserving Federated Learning based on Practical Blockchain State Channels.
WWW
Ruonan Chen, Ye Dong, Yizhong Liu, Tingyu Fan, Dawei Li, Zhenyu Guan, Jianwei Liu, Jianying Zhou
2025 J jnl
FedShelter: Efficient privacy-preserving federated learning with poisoning resistance for resource-constrained IoT network.
Comput. Networks
Tingyu Fan, Xiaojun Chen, Xudong Chen, Ye Dong, Weizhan Jing, Zhendong Zhao
2025 J jnl
Generative AI for Internet of Things Security: Challenges and Opportunities.
CoRR
Yan Lin Aung, Ivan Christian, Ye Dong, Xiaodong Ye, Sudipta Chattopadhyay, Jianying Zhou
2025 J jnl
Helix: Scalable Multi-Party Machine Learning Inference against Malicious Adversaries.
IACR Cryptol. ePrint Arch.
Yansong Zhang, Xiaojun Chen, Qinghui Zhang, Ye Dong, Xudong Chen
2025 — conf
LAPIS: Layered Anomaly Detection System for IoT Security.
ACNS Workshops (1)
Cheng Wang, Yan Lin Aung, Ye Dong, Trupil Limbasiya, Jianying Zhou
2025 J jnl
M&M: Secure Two-Party Machine Learning through Efficient Modulus Conversion and Mixed-Mode Protocols.
IACR Cryptol. ePrint Arch.
Ye Dong, Wen-jie Lu, Xiaoyang Hou, Kang Yang, Jian Liu
2025 J jnl
MD-SONIC: Maliciously-Secure Outsourcing Neural Network Inference With Reduced Online Communication.
IEEE Trans. Inf. Forensics Secur.
Yansong Zhang, Xiaojun Chen, Ye Dong, Qinghui Zhang, Rui Hou, Qiang Liu, Xudong Chen
2025 J jnl
MIZAR: Boosting Secure Three-Party Deep Learning with Co-Designed Sign-Bit Extraction and GPU Acceleration.
IACR Cryptol. ePrint Arch.
Ye Dong, Xudong Chen, Xiangfu Song, Yaxi Yang, Tianwei Zhang, Jin-Song Dong
2025 J jnl
MPCache: MPC-Friendly KV Cache Eviction for Efficient Private Large Language Model Inference.
CoRR
Wenxuan Zeng, Ye Dong, Jinjin Zhou, Junming Ma, Jin Tan, Runsheng Wang, Meng Li
2025 J jnl
Maliciously Secure Circuit Private Set Intersection via SPDZ-Compatible Oblivious PRF.
Proc. Priv. Enhancing Technol.
Yaxi Yang, Xiaojian Liang, Xiangfu Song, Ye Dong, Linting Huang, Hongyu Ren, Changyu Dong, Jianying Zhou
2025 A conf
Mizar: Boosting Secure Three-Party Deep Learning with Co-Designed Sign-Bit Extraction and GPU Acceleration.
ACSAC
Ye Dong, Xudong Chen, Xiangfu Song, Yaxi Yang, Tianwei Zhang, Jinsong Dong
2025 J jnl
Model predictive control for pose synchronization of satellite proximity via the Takagi-Sugeno fuzzy modeling method.
Trans. Inst. Meas. Control
Sun Chuqi, Xiao Yan, Ye Dong, Junyan Hou, Zhaowei Sun
2025 J jnl
PRIVMARK: Private Large Language Models Watermarking with MPC.
CoRR
Thomas Fargues, Ye Dong, Tianwei Zhang, Jin Song Dong
2025 J jnl
SecFwT: Efficient Privacy-Preserving Fine-Tuning of Large Language Models Using Forward-Only Passes.
CoRR
Jinglong Luo, Zhuo Zhang, Yehong Zhang, Shiyu Liu, Ye Dong, Xun Zhou, Hui Wang, Yue Yu, Zenglin Xu
2025 J jnl
Streaming Function Secret Sharing and Its Applications.
IACR Cryptol. ePrint Arch.
Xiangfu Song, Jianli Bai, Ye Dong, Yijian Liu, Yu Zhang, Xianhui Lu, Tianwei Zhang
2025 B conf
VCR: Fast Private Set Intersection with Improved VOLE and CRT-Batching.
TrustCom
Weizhan Jing, Xiaojun Chen, Xudong Chen, Ye Dong, Yaxi Yang, Qiang Liu
2025 J jnl
VCR: Fast Private Set Intersection with Improved VOLE and CRT-Batching.
IACR Cryptol. ePrint Arch.
Weizhan Jing, Xiaojun Chen, Xudong Chen, Ye Dong, Yaxi Yang, Qiang Liu
2025 J jnl
XGT: Fast and Secure Decision Tree Training and Inference on GPUs.
IEEE Trans. Dependable Secur. Comput.
Qifan Wang, Shujie Cui, Lei Zhou, Ye Dong, Jianli Bai, Yun Sing Koh, Giovanni Russello
2024 — conf
An Effective Multiple Private Set Intersection.
SecureComm (1)
Qiang Liu, Xiaojun Chen, Weizhan Jing, Ye Dong
2024 — conf
Comet: Communication-Efficient Batch Secure Three-Party Neural Network Inference with Client-Aiding.
ICC
Tingyu Fan, Xiaojun Chen, Ye Dong, Xudong Chen, Weizhan Jing
2024 J jnl
FLock: Robust and Privacy-Preserving Federated Learning based on Practical Blockchain State Channels.
IACR Cryptol. ePrint Arch.
Ruonan Chen, Ye Dong, Yizhong Liu, Tingyu Fan, Dawei Li, Zhenyu Guan, Jianwei Liu, Jianying Zhou
2024 J jnl
Few-Shot Relation Extraction Through Prompt With Relation Information and Multi-Level Contrastive Learning.
IEEE Access
Ye Dong, Rong Yang, Junbao Liu, Xizhong Qin
2024 B conf
GTree: GPU-friendly Privacy-preserving Decision Tree Training and Inference.
TrustCom
Qifan Wang, Shujie Cui, Lei Zhou, Ye Dong, Jianli Bai, Yun Sing Koh, Giovanni Russello
2024 A conf
Lightweight Secure Aggregation for Personalized Federated Learning with Backdoor Resistance.
ACSAC
Tingyu Fan, Xiaojun Chen, Ye Dong, Xudong Chen, Yuexin Xuan, Weizhan Jing
2024 J jnl
PODI: A Private Object Detection Inference framework for autonomous vehicles.
Knowl. Based Syst.
Min Ma, Yu Fu, Ye Dong, Ximeng Liu, Kai Huang
2024 — conf
Roger: A Round Optimized GPU-Friendly Secure Inference Framework.
ICC
Xudong Chen, Xiaojun Chen, Ye Dong, Weizhan Jing, Tingyu Fan, Qinghui Zhang
2023 J jnl
FlexBNN: Fast Private Binary Neural Network Inference With Flexible Bit-Width.
IEEE Trans. Inf. Forensics Secur.
Ye Dong, Xiaojun Chen, Xiangfu Song, Kaiyun Li
2023 J jnl
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference.
CoRR
Qifan Wang, Shujie Cui, Lei Zhou, Ye Dong, Jianli Bai, Yun Sing Koh, Giovanni Russello
2023 A* conf
Meteor: Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs.
WWW
Ye Dong, Xiaojun Chen, Weizhan Jing, Kaiyun Li, Weiping Wang
2023 J jnl
Meteor: Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs.
IACR Cryptol. ePrint Arch.
Ye Dong, Xiaojun Chen, Weizhan Jing, Kaiyun Li, Weiping Wang
2023 J jnl
PUMA: Secure Inference of LLaMA-7B in Five Minutes.
CoRR
Ye Dong, Wen-jie Lu, Yancheng Zheng, Haoqi Wu, Derun Zhao, Jin Tan, Zhicong Huang, Cheng Hong, Tao Wei, Wenguang Chen
2023 — conf
Practical and General Backdoor Attacks Against Vertical Federated Learning.
ECML/PKDD (2)
Yuexin Xuan, Xiaojun Chen, Zhendong Zhao, Bisheng Tang, Ye Dong
2023 J jnl
Practical and General Backdoor Attacks against Vertical Federated Learning.
CoRR
Yuexin Xuan, Xiaojun Chen, Zhendong Zhao, Bisheng Tang, Ye Dong
2022 A* conf
ABNN
DAC
Liyan Shen, Ye Dong, Binxing Fang, Jinqiao Shi, Xuebin Wang, Shengli Pan, Ruisheng Shi
2022 A* conf
DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints.
CVPR
Zhendong Zhao, Xiaojun Chen, Yuexin Xuan, Ye Dong, Dakui Wang, Kaitai Liang
2022 J jnl
Distributed Fog Computing and Federated-Learning-Enabled Secure Aggregation for IoT Devices.
IEEE Internet Things J.
Yiran Liu, Ye Dong, Hao Wang, Han Jiang, Qiuliang Xu
2021 J jnl
Efficient Byzantine-Resilient Stochastic Gradient Desce.
CoRR
Kaiyun Li, Xiaojun Chen, Ye Dong, Peng Zhang, Dakui Wang, Shuai Zeng
2021 — conf
FLOD: Oblivious Defender for Private Byzantine-Robust Federated Learning with Dishonest-Majority.
ESORICS (1)
Ye Dong, Xiaojun Chen, Kaiyun Li, Dakui Wang, Shuai Zeng
2021 J jnl
FLOD: Oblivious Defender for Private Byzantine-Robust Federated Learning with Dishonest-Majority.
IACR Cryptol. ePrint Arch.
Ye Dong, Xiaojun Chen, Kaiyun Li, Dakui Wang, Shuai Zeng
2020 — conf
An Efficient 3-Party Framework for Privacy-Preserving Neural Network Inference.
ESORICS (1)
Liyan Shen, Xiaojun Chen, Jinqiao Shi, Ye Dong, Binxing Fang
2020 J jnl
EaSTFLy: Efficient and secure ternary federated learning.
Comput. Secur.
Ye Dong, Xiaojun Chen, Liyan Shen, Dakui Wang
2020 J jnl
Robust finite-time adaptive control algorithm for satellite fast attitude maneuver.
J. Frankl. Inst.
Ye Dong, Li You, Xiao Bing, Li Wene
2019 C conf
Privacy-Preserving Distributed Machine Learning Based on Secret Sharing.
ICICS
Ye Dong, Xiaojun Chen, Liyan Shen, Dakui Wang
2019 J jnl
Privacy-Preserving Distributed Machine Learning based on Secret Sharing.
IACR Cryptol. ePrint Arch.
Ye Dong, Xiaojun Chen, Liyan Shen
2018 — conf
Efficient and Private Set Intersection of Human Genomes.
BIBM
Liyan Shen, Xiaojun Chen, Dakui Wang, Binxing Fang, Ye Dong
2008 C conf
Three-Dimensional Parallel Electromagnetic Code with Complex Geometry.
HPCC
Jun Chen, Ye Dong, Wenyuan Yang