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Journal Articles
- 2025
[j9]Tingyu Fan, Xiaojun Chen, Xudong Chen, Ye Dong
, Weizhan Jing, Zhendong Zhao:
FedShelter: Efficient privacy-preserving federated learning with poisoning resistance for resource-constrained IoT network. Comput. Networks 261: 111125 (2025)- [j8]Yaxi Yang, Xiaojian Liang, Xiangfu Song, Ye Dong, Linting Huang, Hongyu Ren, Changyu Dong, Jianying Zhou:
Maliciously Secure Circuit Private Set Intersection via SPDZ-Compatible Oblivious PRF. Proc. Priv. Enhancing Technol. 2025(2): 680-696 (2025) - [j7]Yansong Zhang, Xiaojun Chen, Ye Dong, Qinghui Zhang, Rui Hou, Qiang Liu, Xudong Chen:
MD-SONIC: Maliciously-Secure Outsourcing Neural Network Inference With Reduced Online Communication. IEEE Trans. Inf. Forensics Secur. 20: 3534-3549 (2025) - 2024
- [j6]Ye Dong, Rong Yang, Junbao Liu, Xizhong Qin:
Few-Shot Relation Extraction Through Prompt With Relation Information and Multi-Level Contrastive Learning. IEEE Access 12: 123352-123361 (2024) - [j5]Min Ma, Yu Fu, Ye Dong, Ximeng Liu, Kai Huang:
PODI: A Private Object Detection Inference framework for autonomous vehicles. Knowl. Based Syst. 301: 112267 (2024) - 2023
- [j4]Ye Dong, Xiaojun Chen, Xiangfu Song, Kaiyun Li:
FlexBNN: Fast Private Binary Neural Network Inference With Flexible Bit-Width. IEEE Trans. Inf. Forensics Secur. 18: 2382-2397 (2023) - 2022
- [j3]Yiran Liu, Ye Dong, Hao Wang, Han Jiang, Qiuliang Xu:
Distributed Fog Computing and Federated-Learning-Enabled Secure Aggregation for IoT Devices. IEEE Internet Things J. 9(21): 21025-21037 (2022) - 2020
- [j2]Ye Dong, Xiaojun Chen, Liyan Shen, Dakui Wang:
EaSTFLy: Efficient and secure ternary federated learning. Comput. Secur. 94: 101824 (2020) - [j1]Ye Dong, Li You, Xiao Bing, Li Wene:
Robust finite-time adaptive control algorithm for satellite fast attitude maneuver. J. Frankl. Inst. 357(16): 11558-11583 (2020)
Conference and Workshop Papers
- 2025
- [c14]Ruonan Chen, Ye Dong, Yizhong Liu, Tingyu Fan, Dawei Li, Zhenyu Guan, Jianwei Liu, Jianying Zhou:
FLock: Robust and Privacy-Preserving Federated Learning based on Practical Blockchain State Channels. WWW 2025: 884-895 - 2024
- [c13]Tingyu Fan, Xiaojun Chen, Ye Dong, Xudong Chen, Yuexin Xuan, Weizhan Jing:
Lightweight Secure Aggregation for Personalized Federated Learning with Backdoor Resistance. ACSAC 2024: 810-825 - [c12]Xudong Chen, Xiaojun Chen, Ye Dong, Weizhan Jing, Tingyu Fan, Qinghui Zhang:
Roger: A Round Optimized GPU-Friendly Secure Inference Framework. ICC 2024: 61-66 - [c11]Tingyu Fan, Xiaojun Chen, Ye Dong, Xudong Chen, Weizhan Jing:
Comet: Communication-Efficient Batch Secure Three-Party Neural Network Inference with Client-Aiding. ICC 2024: 752-757 - [c10]Qifan Wang, Shujie Cui, Lei Zhou, Ye Dong, Jianli Bai, Yun Sing Koh, Giovanni Russello:
GTree: GPU-friendly Privacy-preserving Decision Tree Training and Inference. TrustCom 2024: 775-785 - 2023
- [c9]Yuexin Xuan, Xiaojun Chen, Zhendong Zhao, Bisheng Tang, Ye Dong:
Practical and General Backdoor Attacks Against Vertical Federated Learning. ECML/PKDD (2) 2023: 402-417 - [c8]Ye Dong, Xiaojun Chen, Weizhan Jing, Kaiyun Li, Weiping Wang:
Meteor: Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs. WWW 2023: 2087-2098 - 2022
- [c7]Zhendong Zhao, Xiaojun Chen, Yuexin Xuan, Ye Dong, Dakui Wang, Kaitai Liang:
DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints. CVPR 2022: 15192-15201 - [c6]Liyan Shen, Ye Dong, Binxing Fang, Jinqiao Shi, Xuebin Wang, Shengli Pan, Ruisheng Shi:
ABNN2: secure two-party arbitrary-bitwidth quantized neural network predictions. DAC 2022: 361-366 - 2021
- [c5]Ye Dong, Xiaojun Chen, Kaiyun Li, Dakui Wang, Shuai Zeng:
FLOD: Oblivious Defender for Private Byzantine-Robust Federated Learning with Dishonest-Majority. ESORICS (1) 2021: 497-518 - 2020
- [c4]Liyan Shen, Xiaojun Chen, Jinqiao Shi, Ye Dong, Binxing Fang:
An Efficient 3-Party Framework for Privacy-Preserving Neural Network Inference. ESORICS (1) 2020: 419-439 - 2019
- [c3]Ye Dong, Xiaojun Chen, Liyan Shen, Dakui Wang:
Privacy-Preserving Distributed Machine Learning Based on Secret Sharing. ICICS 2019: 684-702 - 2018
- [c2]Liyan Shen, Xiaojun Chen, Dakui Wang, Binxing Fang, Ye Dong:
Efficient and Private Set Intersection of Human Genomes. BIBM 2018: 761-764 - 2008
- [c1]Jun Chen, Ye Dong, Wenyuan Yang:
Three-Dimensional Parallel Electromagnetic Code with Complex Geometry. HPCC 2008: 849-852
Informal and Other Publications
- 2025
- [i15]Wenxuan Zeng, Ye Dong, Jinjin Zhou, Junming Ma, Jin Tan, Runsheng Wang, Meng Li:
MPCache: MPC-Friendly KV Cache Eviction for Efficient Private Large Language Model Inference. CoRR abs/2501.06807 (2025) - [i14]Yongming Fan, Rui Zhu, Zihao Wang, Chenghong Wang, Haixu Tang, Ye Dong, Hyunghoon Cho, Lucila Ohno-Machado:
ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs. CoRR abs/2501.06953 (2025) - [i13]Yan Lin Aung, Ivan Christian, Ye Dong, Xiaodong Ye, Sudipta Chattopadhyay, Jianying Zhou:
Generative AI for Internet of Things Security: Challenges and Opportunities. CoRR abs/2502.08886 (2025) - [i12]Ye Dong, Yan Lin Aung, Sudipta Chattopadhyay, Jianying Zhou:
ChatIoT: Large Language Model-based Security Assistant for Internet of Things with Retrieval-Augmented Generation. CoRR abs/2502.09896 (2025) - [i11]Yansong Zhang, Xiaojun Chen, Qinghui Zhang, Ye Dong, Xudong Chen:
Helix: Scalable Multi-Party Machine Learning Inference against Malicious Adversaries. IACR Cryptol. ePrint Arch. 2025: 347 (2025) - [i10]Ye Dong, Xudong Chen, Xiangfu Song, Yaxi Yang, Tianwei Zhang, Jin-Song Dong:
MIZAR: Boosting Secure Three-Party Deep Learning with Co-Designed Sign-Bit Extraction and GPU Acceleration. IACR Cryptol. ePrint Arch. 2025: 1063 (2025) - [i9]Weizhan Jing, Xiaojun Chen, Xudong Chen, Ye Dong, Yaxi Yang, Qiang Liu:
VCR: Fast Private Set Intersection with Improved VOLE and CRT-Batching. IACR Cryptol. ePrint Arch. 2025: 1114 (2025) - 2024
- [i8]Ruonan Chen, Ye Dong, Yizhong Liu, Tingyu Fan, Dawei Li, Zhenyu Guan, Jianwei Liu, Jianying Zhou:
FLock: Robust and Privacy-Preserving Federated Learning based on Practical Blockchain State Channels. IACR Cryptol. ePrint Arch. 2024: 1797 (2024) - 2023
- [i7]Qifan Wang, Shujie Cui, Lei Zhou, Ye Dong, Jianli Bai, Yun Sing Koh, Giovanni Russello:
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference. CoRR abs/2305.00645 (2023) - [i6]Yuexin Xuan, Xiaojun Chen, Zhendong Zhao, Bisheng Tang, Ye Dong:
Practical and General Backdoor Attacks against Vertical Federated Learning. CoRR abs/2306.10746 (2023) - [i5]Ye Dong, Wen-jie Lu, Yancheng Zheng, Haoqi Wu, Derun Zhao, Jin Tan, Zhicong Huang, Cheng Hong, Tao Wei, Wenguang Chen:
PUMA: Secure Inference of LLaMA-7B in Five Minutes. CoRR abs/2307.12533 (2023) - [i4]Ye Dong, Xiaojun Chen, Weizhan Jing, Kaiyun Li, Weiping Wang:
Meteor: Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs. IACR Cryptol. ePrint Arch. 2023: 100 (2023) - 2021
- [i3]Kaiyun Li, Xiaojun Chen, Ye Dong, Peng Zhang, Dakui Wang, Shuai Zeng:
Efficient Byzantine-Resilient Stochastic Gradient Desce. CoRR abs/2108.06658 (2021) - [i2]Ye Dong, Xiaojun Chen, Kaiyun Li, Dakui Wang, Shuai Zeng:
FLOD: Oblivious Defender for Private Byzantine-Robust Federated Learning with Dishonest-Majority. IACR Cryptol. ePrint Arch. 2021: 993 (2021) - 2019
- [i1]Ye Dong, Xiaojun Chen, Liyan Shen:
Privacy-Preserving Distributed Machine Learning based on Secret Sharing. IACR Cryptol. ePrint Arch. 2019: 1334 (2019)
Coauthor Index
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