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2020 – today
- 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) - [c11]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 - [c10]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 - [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
- [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) - [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 - [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) - 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) - [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 - [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) - 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) - [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
2010 – 2019
- 2019
- [c3]Ye Dong, Xiaojun Chen, Liyan Shen, Dakui Wang:
Privacy-Preserving Distributed Machine Learning Based on Secret Sharing. ICICS 2019: 684-702 - [i1]Ye Dong, Xiaojun Chen, Liyan Shen:
Privacy-Preserving Distributed Machine Learning based on Secret Sharing. IACR Cryptol. ePrint Arch. 2019: 1334 (2019) - 2018
- [c2]Liyan Shen, Xiaojun Chen, Dakui Wang, Binxing Fang, Ye Dong:
Efficient and Private Set Intersection of Human Genomes. BIBM 2018: 761-764
2000 – 2009
- 2008
- [c1]Jun Chen, Ye Dong, Wenyuan Yang:
Three-Dimensional Parallel Electromagnetic Code with Complex Geometry. HPCC 2008: 849-852
Coauthor Index
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